Triple
T32484932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CBS News New York |
E830210
|
entity |
| Predicate | offersOnDemand |
P194372
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [CBS News New York, offersOnDemand, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersOnDemand Context triple: [CBS News New York, offersOnDemand, true]
-
A.
offersLimitedServiceOn
Indicates that one entity provides a restricted, partial, or reduced version of a service to another entity, rather than full or regular service.
-
B.
offersFeature
Indicates that one entity provides or makes available a particular feature or capability to another entity.
-
C.
offersServiceIn
Indicates that a provider makes a particular service available within a specified location or jurisdiction.
-
D.
offersServiceOn
Indicates that one entity provides or makes a service available on, during, or through another entity (such as a platform, date, or location).
-
E.
offersObject
Indicates that a subject provides or makes available a specific object to another party as an offer.
- 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_69f34920aa4081908d8fb0277414b911 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fd6dbd1b648190b1a0b391c03aebc5 |
completed | May 8, 2026, 4:59 a.m. |
| PD | Predicate disambiguation | batch_69fd6a9020548190bbfa845360ac85fb |
completed | May 8, 2026, 4:46 a.m. |
| PDg | Predicate description generation | batch_69fd6dbc3ac0819093fbcfe95f12b93d |
completed | May 8, 2026, 4:59 a.m. |
Created at: May 1, 2026, 12:58 a.m.