Triple

T13695354
Position Surface form Disambiguated ID Type / Status
Subject WRKS E328369 entity
Predicate sisterStation P15137 FINISHED
Object WQHT E328370 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: WQHT | Statement: [WRKS, sisterStation, WQHT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WQHT
Context triple: [WRKS, sisterStation, WQHT]
  • A. WQHT chosen
    WQHT is a New York City-based hip hop radio station, widely known by its brand name Hot 97.
  • B. WWHR-FM
    WWHR-FM is the student-run campus radio station of Western Kentucky University, broadcasting a variety of music and programming to the university community and surrounding area.
  • C. WMMR
    WMMR is a long-running rock radio station based in Philadelphia, Pennsylvania, known for its influential role in album-oriented rock and local music culture.
  • D. WPHT
    WPHT is a Philadelphia-based AM talk radio station known for its news, talk, and opinion programming.
  • E. WRAG
    WRAG is the abbreviation for the Work-Related Activity Group, a category in the UK welfare system for people assessed as capable of some work-related activities while receiving certain benefits.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc8773f388190b2413b1e05fd5fd7 completed April 12, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f794514afc8190b334b1fc74a6cdd5 completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:54 p.m.