Triple
T16613044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WABC (AM) |
E403624
|
entity |
| Predicate | sisterStation |
P15137
|
FINISHED |
| Object | WPLJ (historical) |
E371363
|
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: WPLJ (historical) | Statement: [WABC (AM), sisterStation, WPLJ (historical)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WPLJ (historical) Context triple: [WABC (AM), sisterStation, WPLJ (historical)]
-
A.
WJZ-FM
WJZ-FM is a Baltimore-based commercial radio station known for its sports and talk programming.
-
B.
WBLS
WBLS is a New York City-based urban adult contemporary radio station known for its influential programming and prominent on-air personalities.
-
C.
WXRK (New York)
chosen
WXRK (New York) was a New York City FM radio station best known as the longtime home of The Howard Stern Show during its peak popularity.
-
D.
WBEB
WBEB is a Philadelphia-based commercial radio station best known for its adult contemporary music format and branding as "B101."
-
E.
WEPN-FM
WEPN-FM is a New York City sports radio station best known as ESPN New York 98.7 FM, featuring local and national sports talk programming.
- 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_69d883880d0c81908b5fcd454e767b60 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3609776d48190b6b8c7826ac575c4 |
completed | April 18, 2026, 10:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0075aeaa9881908bdef0f9f2b52e60 |
completed | May 10, 2026, 12:10 p.m. |
Created at: April 10, 2026, 5:17 a.m.