Triple

T22062230
Position Surface form Disambiguated ID Type / Status
Subject HARQ E545180 entity
Predicate relatedTo P37 FINISHED
Object FEC NE NERFINISHED

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: FEC | Statement: [HARQ, relatedTo, FEC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FEC
Context triple: [HARQ, relatedTo, FEC]
  • A. FEC
    FEC is the independent U.S. regulatory agency responsible for enforcing federal campaign finance laws and overseeing the financing of elections for federal office.
  • B. FEC
    FEC is the highest decision-making body of the Nigerian federal government, comprising the President, Vice President, and ministers who formulate and approve national policies and executive actions.
  • C. FEC
    FEC is the commonly used abbreviation for the Faculty of Engineering and Computing, an academic division focused on engineering and computing disciplines.
  • D. FEC
    FEC is the abbreviation commonly used for the FIBA Europe Cup, an annual European professional basketball club competition organized by FIBA Europe.
  • E. FEC
    FEC is the commonly used abbreviation for Fortaleza Esporte Clube, a Brazilian football club based in Fortaleza, Ceará.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

Provenance (2 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_69e11e3377c48190890c17407b9527d6 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1285e8c688190b701e417893cc148 completed April 28, 2026, 9:36 p.m.
Created at: April 16, 2026, 8:27 p.m.