Triple

T5740794
Position Surface form Disambiguated ID Type / Status
Subject GRC E126608 entity
Predicate hasAcronym P43 FINISHED
Object GRC E73768 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: GRC | Statement: [GRC, hasAcronym, GRC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GRC
Context triple: [GRC, hasAcronym, GRC]
  • A. GRC chosen
    GRC is the commonly used abbreviation for NASA's Glenn Research Center, a major research facility focused on aeronautics and space technology.
  • B. GRC
    GRC is the French-language abbreviation for the Royal Canadian Mounted Police, Canada’s federal and national police service.
  • C. GRG
    GRG is the standard abbreviation for the Grand Rapids Griffins, a professional ice hockey team in the American Hockey League.
  • D. GCR
    GCR is the National Rail station code for Gloucester railway station in Gloucestershire, England.
  • E. GRO
    GRO is the FAA airport code assigned to Rota International Airport, a public airport serving the island of Rota in the Northern Mariana Islands.
  • 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_69c0083179548190b384b0bf3c08ca4d completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0255f302c819094f97b4defeded07 completed March 22, 2026, 5:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e168ebc8190ba8cb1b3e1b074d5 completed March 22, 2026, 11:41 p.m.
Created at: March 22, 2026, 3:48 p.m.