Triple
T31394470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NBC Studio 8G |
E800826
|
entity |
| Predicate | hasCallLettersNetwork |
P197135
|
FINISHED |
| Object | WNBC (local NBC station) |
—
|
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: WNBC (local NBC station) | Statement: [NBC Studio 8G, hasCallLettersNetwork, WNBC (local NBC station)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCallLettersNetwork Context triple: [NBC Studio 8G, hasCallLettersNetwork, WNBC (local NBC station)]
-
A.
hasCallSignOrigin
Indicates that an entity’s call sign originates from, or is derived based on, a particular source, place, or context.
-
B.
hasCallSignOwner
Indicates that a particular call sign is owned or assigned to a specific entity.
-
C.
callSignOwnerHeadquarters
Indicates that the headquarters of the owner associated with a given call sign is located at a specified place.
-
D.
callSignStation
Indicates that a particular call sign is assigned to or used by a specific station.
-
E.
brandingOfCallsign
Indicates a relationship where a particular branding or marketed name is associated with a specific callsign.
- F. None of above. chosen
Provenance (4 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_69f224ea9998819086ae2e4f4f4091c8 |
completed | April 29, 2026, 3:34 p.m. |
| NER | Named-entity recognition | batch_69fe78e545888190a239af1a84280fa0 |
completed | May 8, 2026, 11:59 p.m. |
| PD | Predicate disambiguation | batch_69fe7842742081908043eb950ed69f92 |
completed | May 8, 2026, 11:56 p.m. |
| PDg | Predicate description generation | batch_69fe78e35e6c8190b8b440777912f64e |
completed | May 8, 2026, 11:59 p.m. |
Created at: April 29, 2026, 9:19 p.m.