Triple
T24572023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Este region of the Dominican Republic |
E607986
|
entity |
| Predicate | Las Américas International AirportLocatedNear |
P30013
|
FINISHED |
| Object | Boca Chica |
—
|
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: Boca Chica | Statement: [Este region of the Dominican Republic, Las Américas International AirportLocatedNear, Boca Chica]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Las Américas International AirportLocatedNear Context triple: [Este region of the Dominican Republic, Las Américas International AirportLocatedNear, Boca Chica]
-
A.
airportLocatedNear
chosen
Indicates that an airport is situated close to a specified place or geographic feature.
-
B.
hasInternationalAirport
Indicates that a place possesses an airport that handles international flights and services cross-border air traffic.
-
C.
airportLocatedWithin
Indicates that an airport is geographically situated inside the boundaries of a specified area or region.
-
D.
associatedAirport
Indicates a relationship where an entity is linked or connected to a specific airport, typically as its relevant or corresponding airport.
-
E.
airportLocatedIn
Indicates that an airport is geographically situated within a specific administrative or territorial area.
- 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_69e2c4cdab6c8190aae6e5d3de55c95e |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a9257ccc81908efcd9d047772492 |
completed | April 30, 2026, 12:58 a.m. |
| PD | Predicate disambiguation | batch_69f2a6c1f07081908edf0b521767e79b |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:28 a.m.