Triple
T11715663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Rafael |
E278489
|
entity |
| Predicate | hasAirport |
P105
|
FINISHED |
| Object | San Rafael Airport |
E724654
|
NE 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: San Rafael Airport | Statement: [San Rafael, hasAirport, San Rafael Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San Rafael Airport Context triple: [San Rafael, hasAirport, San Rafael Airport]
-
A.
San Rafael Airport
chosen
San Rafael Airport is a regional public airport serving the city of San Rafael in Mendoza Province, Argentina.
-
B.
Santa Rosa Airport
Santa Rosa Airport is a regional public airport serving the city of Santa Rosa in La Pampa Province, Argentina.
-
C.
Del Norte International Airport
Del Norte International Airport is a regional airport serving the Monterrey metropolitan area in the state of Nuevo León, Mexico.
-
D.
Del Norte County Regional Airport
Del Norte County Regional Airport is a public airport serving the air transportation needs of Crescent City and the surrounding Del Norte County region in far northern California.
-
E.
Monterey Regional Airport
Monterey Regional Airport is a public airport on California’s central coast that provides commercial air service to the Monterey Bay area and surrounding communities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aaff2ce88190b4a1e4b341ad5377 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4bf54d88190a8e07fbbf8d9e962 |
completed | April 10, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef8397a4ac8190a71dfdd53bfa168a |
completed | April 27, 2026, 3:41 p.m. |
Created at: April 8, 2026, 9:40 p.m.