Triple
T18514225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CAYOW |
E452416
|
entity |
| Predicate | representsLocationType |
P59369
|
FINISHED |
| Object | 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: airport | Statement: [CAYOW, representsLocationType, airport]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representsLocationType Context triple: [CAYOW, representsLocationType, airport]
-
A.
regionRepresentation
Indicates that one entity serves as a representation, model, or depiction of a specific geographic or spatial region associated with another entity.
-
B.
originalLocationType
Indicates the type or category of the place where something was originally located or came from.
-
C.
typeOfAreaRepresented
chosen
Indicates that one entity specifies the kind or category of area that another entity represents.
-
D.
refersToLocation
Indicates that one entity designates, points to, or identifies a specific location associated with it.
-
E.
modelingLocation
Indicates the place or setting where the modeling activity or process occurs.
- 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_69d8d386df84819092355ebb260d848e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53348274c8190a82861b0104538e3 |
completed | April 19, 2026, 7:55 p.m. |
| PD | Predicate disambiguation | batch_69e469e0025c81908f16ed4f922674af |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:36 a.m.