Triple
T21612021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Callao |
E533335
|
entity |
| Predicate | locatedInEntertainmentArea |
P101053
|
FINISHED |
| Object | cinema district around Gran Vía |
—
|
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: cinema district around Gran Vía | Statement: [Callao, locatedInEntertainmentArea, cinema district around Gran Vía]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInEntertainmentArea Context triple: [Callao, locatedInEntertainmentArea, cinema district around Gran Vía]
-
A.
isEntertainmentDistrict
chosen
Indicates that a location functions primarily as an area dedicated to entertainment activities, venues, and nightlife.
-
B.
locatedInMusicArea
Indicates that one entity is situated within or belongs to a designated music-related area or environment.
-
C.
locatedInOperatedVenue
Indicates that an entity is situated within a venue that is managed or operated by a specified agent or organization.
-
D.
locatedInVenueType
Indicates that an entity is situated within or associated with a venue of a specific type (e.g., stadium, theater, restaurant).
-
E.
hasTheatreDistrictRole
Indicates that an entity holds a specific role, function, or designation within a theatre district.
- 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_69e0c46411108190bba0d4176dffc9f3 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef3ba79424819094e9ee93c4bbcc0b |
completed | April 27, 2026, 10:34 a.m. |
| PD | Predicate disambiguation | batch_69e69665fe8c8190af7e38785db188b2 |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:33 p.m.