Triple

T17368487
Position Surface form Disambiguated ID Type / Status
Subject Copernicus E422246 entity
Predicate formerName P65 FINISHED
Object GMES E410435 NE FINISHED

How this triple was built (2 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: GMES | Statement: [Copernicus, formerName, GMES]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GMES
Context triple: [Copernicus, formerName, GMES]
  • A. GMES chosen
    GMES (Global Monitoring for Environment and Security) is the former name of the European Union’s Copernicus Programme, a flagship Earth observation initiative providing environmental and security-related data from satellites and ground-based systems.
  • B. GeMS
    GeMS is a multi-conjugate adaptive optics system used on large telescopes to correct atmospheric distortion and produce sharper astronomical images.
  • C. 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.
  • D. Geo-Cosmos
    Geo-Cosmos is a large, high-resolution spherical display of Earth that serves as the iconic centerpiece of the National Museum of Emerging Science and Innovation (Miraikan) in Tokyo.
  • E. GMD
    GMD is the commonly used abbreviation for General Motors Diesel Division of Canada, a former manufacturer of diesel locomotives and related rail equipment.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a6790448190a24047523a019f81 completed April 19, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a019566da6c819083b59e0911d02bd5 completed May 11, 2026, 8:37 a.m.
Created at: April 10, 2026, 5:44 a.m.