Triple

T8376983
Position Surface form Disambiguated ID Type / Status
Subject Group on Earth Observations E197600 entity
Predicate abbreviation P43 FINISHED
Object GEO
GEO is an intergovernmental partnership that coordinates global efforts to build and improve Earth observation systems for informed environmental and societal decision-making.
E729758 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: GEO | Statement: [Group on Earth Observations, abbreviation, GEO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GEO
Context triple: [Group on Earth Observations, abbreviation, GEO]
  • A. GEO
    GEO is the three-letter ISO 3166-1 alpha-3 country code representing the nation of Georgia.
  • B. GEOC
    GEOC is the commonly used abbreviation for the Division of Geochemistry, a professional group focused on the study of the chemical composition and processes of the Earth.
  • C. Geo
    Geo is a short form of the given name Georges, often used as an informal or familiar nickname.
  • D. Geo
    Geo was a defunct General Motors automobile brand from the late 1980s and 1990s that specialized in small, economy cars often built in partnership with foreign manufacturers.
  • E. GEOBASE
    GEOBASE is a bibliographic database specializing in worldwide research literature on geology, geography, earth sciences, ecology, and related environmental disciplines.
  • 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: GEO
Triple: [Group on Earth Observations, abbreviation, GEO]
Generated description
GEO is an intergovernmental partnership that coordinates global efforts to build and improve Earth observation systems for informed environmental and societal decision-making.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: GEO
Target entity description: GEO is an intergovernmental partnership that coordinates global efforts to build and improve Earth observation systems for informed environmental and societal decision-making.
  • A. GEO
    GEO is the three-letter ISO 3166-1 alpha-3 country code representing the nation of Georgia.
  • B. GEOC
    GEOC is the commonly used abbreviation for the Division of Geochemistry, a professional group focused on the study of the chemical composition and processes of the Earth.
  • C. Geo
    Geo is a short form of the given name Georges, often used as an informal or familiar nickname.
  • D. Geo
    Geo was a defunct General Motors automobile brand from the late 1980s and 1990s that specialized in small, economy cars often built in partnership with foreign manufacturers.
  • E. GEOBASE
    GEOBASE is a bibliographic database specializing in worldwide research literature on geology, geography, earth sciences, ecology, and related environmental disciplines.
  • 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_69ca82f64c188190af4e1608036b865d completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb80c094908190afe9cc54ce4f4d58 completed March 31, 2026, 8:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde7f19ba08190a08cf5aea522c021 completed April 2, 2026, 3:52 a.m.
NEDg Description generation batch_69cdebf944008190b7e758ac59257e22 completed April 2, 2026, 4:09 a.m.
NED2 Entity disambiguation (via description) batch_69cdeccedf4081909cab853ee1ff1b82 completed April 2, 2026, 4:13 a.m.
Created at: March 30, 2026, 6:02 p.m.