Triple
T21018839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hot 97 |
E517749
|
entity |
| Predicate | callSign |
P1565
|
FINISHED |
| Object | WQHT |
—
|
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: WQHT | Statement: [Hot 97, callSign, WQHT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WQHT Context triple: [Hot 97, callSign, 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 (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_69e0b50262b081909bc488937145eb73 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc5b6af4819081fd3aa5212f17a5 |
completed | April 21, 2026, 4:26 a.m. |
Created at: April 16, 2026, 1:54 p.m.