Triple
T23998597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ESPN New York |
E594179
|
entity |
| Predicate | primaryCityOfLicense |
P136244
|
FINISHED |
| Object | New York City |
—
|
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: New York City | Statement: [ESPN New York, primaryCityOfLicense, New York City]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryCityOfLicense Context triple: [ESPN New York, primaryCityOfLicense, New York City]
-
A.
cityOfLicense
Indicates the city in which an entity (typically a broadcast station or similar regulated service) is officially licensed or authorized to operate.
-
B.
formerCityOfLicense
Indicates that an entity previously held, but no longer holds, the official city of license designation for another entity (typically a broadcast station).
-
C.
primaryCity
Indicates that one city serves as the main or most important city associated with a given region, entity, or context.
-
D.
primaryLocationCity
chosen
Indicates the city that serves as the main or primary location associated with the subject.
-
E.
nativeCity
Indicates that a city is the place where a person was born or is originally from.
- 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_69e288b9ecf08190b8c94a278f5674fe |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d460b07881908ad11c03890ec1de |
completed | April 29, 2026, 9:50 a.m. |
| PD | Predicate disambiguation | batch_69f1615994c48190a5de95d3f7e5cd0a |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:39 p.m.