Triple
T26167408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neir's Tavern |
E654293
|
entity |
| Predicate | usedAsTVLocationFor |
P24778
|
FINISHED |
| Object | New York City-based television productions |
—
|
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: New York City-based television productions | Statement: [Neir's Tavern, usedAsTVLocationFor, New York City-based television productions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedAsTVLocationFor Context triple: [Neir's Tavern, usedAsTVLocationFor, New York City-based television productions]
-
A.
usedAsLocationIn
chosen
Indicates that something serves as the setting or place where another event, action, or situation occurs.
-
B.
designedForLocation
Indicates that something has been created or configured specifically to be used in, or suited to, a particular location.
-
C.
usedAsFictionalLocation
Indicates that one entity serves as the setting or place within a fictional work in which the other entity appears.
-
D.
plotLocation
Indicates the relationship between a creative work and the place or setting where its story or events occur.
-
E.
servedByTelevisionStation
Indicates that a particular area, audience, or service region is provided television broadcasting or coverage by a specific television station.
- 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_69ee5b44391c81908bdbd8813ba9aa99 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f69edbb7648190bd89c57e0932eac1 |
completed | May 3, 2026, 1:03 a.m. |
| PD | Predicate disambiguation | batch_69f69d17e8d48190b30bcc2f4bd81eb2 |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 26, 2026, 8:33 p.m.