Triple
T25430879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FUN |
E637248
|
entity |
| Predicate | airportLocatedInOceanState |
P165309
|
FINISHED |
| Object | Tuvalu |
—
|
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: Tuvalu | Statement: [FUN, airportLocatedInOceanState, Tuvalu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airportLocatedInOceanState Context triple: [FUN, airportLocatedInOceanState, Tuvalu]
-
A.
coastalState
Indicates that a state has a coastline adjacent to a sea or ocean, giving it maritime access and jurisdiction over nearby coastal waters.
-
B.
isCoastalAirport
Indicates that an airport is located on or very near a coastline, typically adjacent to a sea or ocean.
-
C.
coastalStateCapital
Indicates that the subject is the capital city of a state that is located on or directly adjacent to a sea or ocean coastline.
-
D.
capitalOfStateLocatedOn
Indicates that one entity is the capital city of a state in which the other entity is geographically located.
-
E.
oceanLocation
Indicates that one entity is geographically located in, on, or adjacent to a particular ocean.
- 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_69e75db58a1c8190891b9ff7c2f8414e |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f658a91ba0819084fbe3dd8a09f7cd |
completed | May 2, 2026, 8:03 p.m. |
| PD | Predicate disambiguation | batch_69f6575ba12081909396036f78757a76 |
completed | May 2, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f657f2c8b08190bfeb3173ef78207d |
completed | May 2, 2026, 8 p.m. |
Created at: April 21, 2026, 1:58 p.m.