Triple
T24788462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jarretaderas |
E620181
|
entity |
| Predicate | nearbyAirportLocatedIn |
P30013
|
FINISHED |
| Object | Puerto Vallarta |
—
|
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: Puerto Vallarta | Statement: [Jarretaderas, nearbyAirportLocatedIn, Puerto Vallarta]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearbyAirportLocatedIn Context triple: [Jarretaderas, nearbyAirportLocatedIn, Puerto Vallarta]
-
A.
airportLocatedNear
chosen
Indicates that an airport is situated close to a specified place or geographic feature.
-
B.
hasRegionalAirport
Indicates that a place or region possesses or is served by a regional airport.
-
C.
airportLocatedWithin
Indicates that an airport is geographically situated inside the boundaries of a specified area or region.
-
D.
airportLocatedIn
Indicates that an airport is geographically situated within a specific administrative or territorial area.
-
E.
nearestAirportRegion
Indicates that a region is the closest airport-served area to a given location or entity.
- 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_69e2fabdbe8c8190adbb9434b8636cad |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f497bc12b881908fe3386c66252bf6 |
completed | May 1, 2026, 12:08 p.m. |
| PD | Predicate disambiguation | batch_69f49366e8d08190adb4b71fe3a14683 |
completed | May 1, 2026, 11:49 a.m. |
Created at: April 18, 2026, 4:46 a.m.