Triple

T13018350
Position Surface form Disambiguated ID Type / Status
Subject New York City television market E322610 entity
Predicate includesStation P33789 FINISHED
Object WNJU E82922 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: WNJU | Statement: [New York City television market, includesStation, WNJU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WNJU
Context triple: [New York City television market, includesStation, WNJU]
  • A. WNJU chosen
    WNJU is a Spanish-language television station serving the New York City metropolitan area and acting as the Telemundo network’s local outlet.
  • B. WJC
    WJC is a global federation of Jewish communities and organizations that represents Jewish interests and advocates for Jewish rights on the international stage.
  • C. WN6
    WN6 is a postcode district in the Wigan area of Greater Manchester, England.
  • D. WJA
    WJA is the ICAO airline designator used for WestJet, a major Canadian low-cost carrier.
  • E. WJC North America
    WJC North America is the regional branch of the World Jewish Congress that represents and coordinates Jewish communities and organizations across North America on global Jewish and advocacy issues.
  • 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_69d807657e8c8190bd9435ee2f823845 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97ece22908190a0941e23df7c774d completed April 10, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c116423881908d0de1e04904fbc3 completed May 3, 2026, 3:29 a.m.
Created at: April 9, 2026, 8:51 p.m.