Triple

T16430604
Position Surface form Disambiguated ID Type / Status
Subject USGS EarthExplorer E399061 entity
Predicate includesCollection P426 FINISHED
Object Global Land Survey datasets
Global Land Survey datasets are long-term, globally consistent satellite imagery collections designed to support land cover mapping, environmental monitoring, and change detection over multiple decades.
E1212842 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Global Land Survey datasets | Statement: [USGS EarthExplorer, includesCollection, Global Land Survey datasets]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Global Land Survey datasets
Context triple: [USGS EarthExplorer, includesCollection, Global Land Survey datasets]
  • A. Global 30 Project
    The Global 30 Project was a Japanese government initiative aimed at promoting the internationalization of selected universities by expanding English-taught degree programs and attracting more international students.
  • B. GEOSS
    GEOSS is a global, coordinated system of Earth observation systems designed to provide comprehensive environmental data and information to support science-based decision-making and sustainable development.
  • C. ONS Open Geography portal
    The ONS Open Geography portal is an online platform providing access to official UK geographic data, boundaries, and related statistical geospatial resources published by the Office for National Statistics.
  • D. MDA Geospatial Services
    MDA Geospatial Services is a Canadian company specializing in satellite imagery and geospatial information solutions, providing data and analytics for applications such as environmental monitoring, defense, and resource management.
  • E. Earth Sciences & Map Library
    The Earth Sciences & Map Library is a specialized UC Berkeley library that focuses on collections and services related to geology, geography, environmental sciences, and cartographic materials such as maps and atlases.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Global Land Survey datasets
Triple: [USGS EarthExplorer, includesCollection, Global Land Survey datasets]
Generated description
Global Land Survey datasets are long-term, globally consistent satellite imagery collections designed to support land cover mapping, environmental monitoring, and change detection over multiple decades.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Global Land Survey datasets
Target entity description: Global Land Survey datasets are long-term, globally consistent satellite imagery collections designed to support land cover mapping, environmental monitoring, and change detection over multiple decades.
  • A. Global 30 Project
    The Global 30 Project was a Japanese government initiative aimed at promoting the internationalization of selected universities by expanding English-taught degree programs and attracting more international students.
  • B. GEOSS
    GEOSS is a global, coordinated system of Earth observation systems designed to provide comprehensive environmental data and information to support science-based decision-making and sustainable development.
  • C. ONS Open Geography portal
    The ONS Open Geography portal is an online platform providing access to official UK geographic data, boundaries, and related statistical geospatial resources published by the Office for National Statistics.
  • D. MDA Geospatial Services
    MDA Geospatial Services is a Canadian company specializing in satellite imagery and geospatial information solutions, providing data and analytics for applications such as environmental monitoring, defense, and resource management.
  • E. Earth Sciences & Map Library
    The Earth Sciences & Map Library is a specialized UC Berkeley library that focuses on collections and services related to geology, geography, environmental sciences, and cartographic materials such as maps and atlases.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d87f2b9024819085c20e52de95d583 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e328fe0f488190ac34aa677c980a20 completed April 18, 2026, 6:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004584fa508190a85b1f79ecf9c258 completed May 10, 2026, 8:44 a.m.
NEDg Description generation batch_6a00461390608190848c3b896042f1fd completed May 10, 2026, 8:47 a.m.
NED2 Entity disambiguation (via description) batch_6a0046a88e048190baa78506808171b8 completed May 10, 2026, 8:49 a.m.
Created at: April 10, 2026, 5:10 a.m.