Triple
T527315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WNYW |
E10947
|
entity |
| Predicate | broadcastBand |
P15187
|
FINISHED |
| Object | UHF digital |
—
|
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: UHF digital | Statement: [WNYW, broadcastBand, UHF digital]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: broadcastBand Context triple: [WNYW, broadcastBand, UHF digital]
-
A.
broadcastType
Indicates the specific mode or category of broadcasting used to transmit content (e.g., live, recorded, streaming, or other broadcast formats) between entities.
-
B.
broadcastRole
Indicates that an entity has a specific role or function within a broadcast or transmission context.
-
C.
broadcastRegion
Indicates the geographic area or market in which content is transmitted or made available for broadcast.
-
D.
broadcastAntenna
Indicates that an entity functions as a broadcast antenna used to transmit signals over a distance.
-
E.
broadcastProgram
Indicates that a media outlet or channel transmits a specific program to an audience via a broadcast medium.
- 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_69a2e84b16c4819088d284c47c3a7968 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1d2851c81908129f7da932ab7b3 |
completed | Feb. 28, 2026, 1:46 p.m. |
| PD | Predicate disambiguation | batch_69a2f0198ecc8190883849e5a8245963 |
completed | Feb. 28, 2026, 1:39 p.m. |
| PDg | Predicate description generation | batch_69a2f0dcff1881909c18e8c599c150a1 |
completed | Feb. 28, 2026, 1:42 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.