Triple
T35995177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kauai island airports |
E1040960
|
entity |
| Predicate | IATACodeExample |
P2569
|
FINISHED |
| Object | LIH (Lihue Airport) |
—
|
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: LIH (Lihue Airport) | Statement: [Kauai island airports, IATACodeExample, LIH (Lihue Airport)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: IATACodeExample Context triple: [Kauai island airports, IATACodeExample, LIH (Lihue Airport)]
-
A.
iauCode
Indicates the standardized code assigned by the International Astronomical Union (IAU) to uniquely identify an astronomical object or entity.
-
B.
tailcodeExample
Indicates that a specific tailcode is provided as an example instance or illustration of that tailcode designation.
-
C.
IATAModel
Indicates a relationship where an entity functions as, or is classified as, an IATA-recognized model or standard within an aviation-related context.
-
D.
usesIATACodeAtOtherEnd
Indicates that one entity identifies or refers to the other end of a route, connection, or relationship using its IATA airport code.
-
E.
hasIATAcode
chosen
Indicates that an entity, typically a transportation facility like an airport, is associated with a specific IATA (International Air Transport Association) code.
- 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_69f76e29084c819083987b828d414de7 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7acaec1508190a38f2ac9cc5383e7 |
completed | May 3, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69f7ab75387c819091afc3c2128eb903 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 3, 2026, 4:07 p.m.