Triple
T661847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WNBC |
E11771
|
entity |
| Predicate | originalService |
P1294
|
FINISHED |
| Object | experimental television station |
—
|
LITERAL 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: experimental television station | Statement: [WNBC, originalService, experimental television station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalService Context triple: [WNBC, originalService, experimental television station]
-
A.
originalFunction
Indicates that one entity serves as the initial or primary function from which another function or behavior is derived or defined.
-
B.
servedByService
chosen
Indicates that something is provided, handled, or fulfilled by a particular service.
-
C.
primaryService
Indicates that one entity serves as the main or principal service provided or used in relation to another entity.
-
D.
originalType
Indicates that one entity represents the initial or source type from which another entity is derived, transformed, or reclassified.
-
E.
hasFormerService
Indicates that an entity previously provided a service to another entity but no longer does so.
- F. None of above.
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_69a4932862a0819098be659c814e4981 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49fa954988190841740a587ace466 |
completed | March 1, 2026, 8:20 p.m. |
| PD | Predicate disambiguation | batch_69a49d153a948190b3ccdc331ed33617 |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:36 p.m.