Triple

T16920800
Position Surface form Disambiguated ID Type / Status
Subject Sentinel programme E410438 entity
Predicate hasPart P35 FINISHED
Object Sentinel-2
Sentinel-2 is a pair of European Earth observation satellites that provide high-resolution, multispectral imagery for land monitoring, agriculture, forestry, and disaster management.
E1244779 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: Sentinel-2 | Statement: [Sentinel programme, hasPart, Sentinel-2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sentinel-2
Context triple: [Sentinel programme, hasPart, Sentinel-2]
  • A. Sentinel-1
    Sentinel-1 is a European Space Agency Earth observation mission consisting of radar imaging satellites designed to provide all-weather, day-and-night monitoring of the Earth's surface.
  • B. Sentinel-3A
    Sentinel-3A is a European Earth observation satellite in the Copernicus program, designed to monitor oceans, land, and atmospheric conditions with high-precision instruments.
  • C. Landsat 8
    Landsat 8 is an Earth observation satellite in the long-running Landsat program, providing high-resolution multispectral imagery for environmental monitoring, land use analysis, and climate research.
  • D. Sentinel-5
    Sentinel-5 is a European Earth observation satellite mission dedicated to monitoring atmospheric composition and air quality on a global scale.
  • E. Sentinel-2 MSI Level-1C
    Sentinel-2 MSI Level-1C is a satellite imagery product providing atmospherically uncorrected, orthorectified multispectral data from the Sentinel-2 mission at high spatial resolution for land and environmental monitoring.
  • 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: Sentinel-2
Triple: [Sentinel programme, hasPart, Sentinel-2]
Generated description
Sentinel-2 is a pair of European Earth observation satellites that provide high-resolution, multispectral imagery for land monitoring, agriculture, forestry, and disaster management.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sentinel-2
Target entity description: Sentinel-2 is a pair of European Earth observation satellites that provide high-resolution, multispectral imagery for land monitoring, agriculture, forestry, and disaster management.
  • A. Sentinel-1
    Sentinel-1 is a European Space Agency Earth observation mission consisting of radar imaging satellites designed to provide all-weather, day-and-night monitoring of the Earth's surface.
  • B. Sentinel-3A
    Sentinel-3A is a European Earth observation satellite in the Copernicus program, designed to monitor oceans, land, and atmospheric conditions with high-precision instruments.
  • C. Landsat 8
    Landsat 8 is an Earth observation satellite in the long-running Landsat program, providing high-resolution multispectral imagery for environmental monitoring, land use analysis, and climate research.
  • D. Sentinel-5
    Sentinel-5 is a European Earth observation satellite mission dedicated to monitoring atmospheric composition and air quality on a global scale.
  • E. Sentinel-2 MSI Level-1C
    Sentinel-2 MSI Level-1C is a satellite imagery product providing atmospherically uncorrected, orthorectified multispectral data from the Sentinel-2 mission at high spatial resolution for land and environmental monitoring.
  • 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_69d886c7b1e481908c3766dfa8c13458 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3cdee252c81908621b2ca897416e9 completed April 18, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dc024d7c8190b8055833ed8908d5 completed May 10, 2026, 7:26 p.m.
NEDg Description generation batch_6a0114d33cac819083d8e542ea5bc274 completed May 10, 2026, 11:29 p.m.
NED2 Entity disambiguation (via description) batch_6a0115c967b0819088e2335fd45d755b completed May 10, 2026, 11:33 p.m.
Created at: April 10, 2026, 5:30 a.m.