Triple
T527293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WNYW |
E10947
|
entity |
| Predicate | virtualChannel |
P15184
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [WNYW, virtualChannel, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: virtualChannel Context triple: [WNYW, virtualChannel, 5]
-
A.
originalChannel
Indicates the communication channel or medium through which something was first created, sent, or published.
-
B.
sisterChannel
Indicates that one channel is a sibling or counterpart to another channel, typically under the same ownership or network.
-
C.
communicationChannel
Indicates a medium or method through which information is transmitted between parties.
-
D.
via
Indicates that something occurs, is achieved, or is connected by means of, through the use of, or along the route of another entity or medium.
-
E.
virtualChallengeDate
Indicates the date on which a virtual challenge or competition is scheduled to occur or recorded as having taken place.
- 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.