Triple
T15324382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maun |
E366371
|
entity |
| Predicate | Maun Airport |
P1813
|
FINISHED |
| Object | instanceOf international airport |
—
|
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: instanceOf international airport | Statement: [Maun, Maun Airport, instanceOf international airport]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Maun Airport Context triple: [Maun, Maun Airport, instanceOf international airport]
-
A.
airportServesAtoll
Indicates that an airport provides transportation services to, or primarily serves, a specific atoll.
-
B.
airportIsland
Indicates that an airport is located on, or associated with, an island.
-
C.
hasInternationalAirport
chosen
Indicates that a place possesses an airport that handles international flights and services cross-border air traffic.
-
D.
largestAtoll
Indicates that the subject is the largest atoll (by area, extent, or another specified measure) within the scope or region defined by the object.
-
E.
hasEmergencyAirstrip
Indicates that an entity possesses or includes an airstrip specifically designated and equipped for emergency use.
- 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_69d85a121520819093dcce999fdefe1a |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03dd5ce0c819093c9a14de549dff6 |
completed | April 16, 2026, 1:39 a.m. |
| PD | Predicate disambiguation | batch_69deca9659f48190b8661df223ce5078 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:16 a.m.