Triple

T3174121
Position Surface form Disambiguated ID Type / Status
Subject WNYE-TV E66420 entity
Predicate network P2637 FINISHED
Object NYC Life E333128 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: NYC Life | Statement: [WNYE-TV, network, NYC Life]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NYC Life
Context triple: [WNYE-TV, network, NYC Life]
  • A. NYC Life chosen
    NYC Life is a New York City-based television channel that focuses on local culture, lifestyle, and city-centric programming.
  • B. NYCT
    NYCT is the primary bus operating division of New York City's Metropolitan Transportation Authority, running most of the city's local and express bus services.
  • C. Day, New York
    Day, New York is a small rural town in Saratoga County known for its scenic Adirondack setting along the shores of the Great Sacandaga Lake.
  • D. One Metro New York
    One Metro New York is the contactless fare payment system used across New York City’s public transit network, including subways, buses, and commuter rails.
  • E. Manhattan
    Manhattan is the densely populated, iconic core borough of New York City, known for its skyscrapers, cultural institutions, and role as a global financial and media center.
  • 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_69ad8586a34c8190944c63ec11a8de1a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada670c800819098937783e2b05c7a completed March 8, 2026, 4:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24b66b3e081908e8ea11d9b36e50a completed March 12, 2026, 5:13 a.m.
Created at: March 8, 2026, 3:06 p.m.