Triple

T14413755
Position Surface form Disambiguated ID Type / Status
Subject Alexander Trager E357395 entity
Predicate network P2637 FINISHED
Object FX E69019 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: FX | Statement: [Alexander Trager, network, FX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FX
Context triple: [Alexander Trager, network, FX]
  • A. FX
    FX is the identifying squadron code historically used by No. 92 Squadron of the Royal Air Force.
  • B. FX chosen
    FX is an American cable television network known for airing edgy, critically acclaimed original series and dramas.
  • C. FIN
    FIN is the commonly used abbreviation for the Department of Finance Canada, the federal government department responsible for developing economic, fiscal, and tax policy.
  • D. FIN
    FIN is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies Finland in international standards and data systems.
  • E. FIN
    FIN is the three-letter station code used by London Underground to identify Finchley Road station on the Metropolitan and Jubilee lines.
  • 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90cb3c708190822f5506ebf7ee9d completed April 14, 2026, 7:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd552858208190ba1550e7c1176a2a completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:17 a.m.