Triple
T3202744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mataveri International Airport |
E67087
|
entity |
| Predicate | isOneOfMostRemoteAirports |
P46122
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Mataveri International Airport, isOneOfMostRemoteAirports, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOneOfMostRemoteAirports Context triple: [Mataveri International Airport, isOneOfMostRemoteAirports, true]
-
A.
isMajorAirportOnIsland
Indicates that the airport is classified as a major airport and is geographically located on an island.
-
B.
hasMajorAirport
Indicates that a location possesses at least one significant airport that serves as a primary hub for air travel in that area.
-
C.
isOnlyCommercialAirportIn
Indicates that an airport is the sole commercial airport serving a specified geographic area or region.
-
D.
hasRegionalAirport
Indicates that a place or region possesses or is served by a regional airport.
-
E.
hasCoreAirport
Indicates that one entity designates another entity as its primary or central airport within a given context or network.
- F. None of above. chosen
Provenance (4 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_69ad8589bd988190afa7ed2bdffb7b33 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada9b188a88190b7b5e9b3be9410db |
completed | March 8, 2026, 4:54 p.m. |
| PD | Predicate disambiguation | batch_69ad9e078f7c8190813d9fcb4f5071fb |
completed | March 8, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69ada0f9259c8190afbc5ad0fa55436b |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 8, 2026, 3:07 p.m.