Triple

T10038266
Position Surface form Disambiguated ID Type / Status
Subject NASA Exceptional Service Medal E205227 entity
Predicate abbreviation P43 FINISHED
Object ESM E205227 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: ESM | Statement: [NASA Exceptional Service Medal, abbreviation, ESM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ESM
Context triple: [NASA Exceptional Service Medal, abbreviation, ESM]
  • A. ESM
    ESM is an intergovernmental financial institution of the eurozone that provides financial assistance to member states in economic distress to safeguard financial stability.
  • B. ESM chosen
    ESM is the abbreviation for NASA’s Exceptional Service Medal, an honor awarded to individuals for significant, sustained contributions to the agency’s mission.
  • C. ESMCH
    ESMCH is the station code used to identify Madrid Chamartín, one of the main railway stations in Madrid, Spain.
  • D. ES-MD
    ES-MD is the ISO 3166-2 subdivision code that uniquely identifies Spain’s Community of Madrid.
  • E. EMES
    EMES is the abbreviated name for the Europe and Middle East Section, an organizational division focused on activities and interests spanning those two regions.
  • 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_69ca834f70e88190b2d74828b7767ec1 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcee04afc8190904704d66e23a432 completed April 2, 2026, 2:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69d282608d688190832c37442f53099a completed April 5, 2026, 3:40 p.m.
Created at: March 30, 2026, 8:55 p.m.