Triple
T29295605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malé Atoll |
E742818
|
entity |
| Predicate | nearbyAirportLocatedOn |
P40417
|
FINISHED |
| Object | Hulhulé Island |
—
|
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: Hulhulé Island | Statement: [Malé Atoll, nearbyAirportLocatedOn, Hulhulé Island]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearbyAirportLocatedOn Context triple: [Malé Atoll, nearbyAirportLocatedOn, Hulhulé Island]
-
A.
airportLocatedNear
Indicates that an airport is situated close to a specified place or geographic feature.
-
B.
nearbyAirportRelationship
Indicates that one location has an airport situated close enough to serve it conveniently, establishing a nearby-airport relationship between the two.
-
C.
hasAirportInVicinity
Indicates that an entity is located near or served by an airport in its surrounding area.
-
D.
airportLocatedWithin
chosen
Indicates that an airport is geographically situated inside the boundaries of a specified area or region.
-
E.
nearestAirport
Indicates that one airport is the closest in distance to a given location or entity compared to all other airports.
- 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_69f0912323c48190b9a24ef8cf359225 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69fcd867f36081908c88c55a6a1404c1 |
completed | May 7, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f47b188190b4cf4b4c748d9d03 |
completed | May 7, 2026, 5:55 p.m. |
Created at: April 28, 2026, 1:06 p.m.