Triple
T11043388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santa Fe |
E261074
|
entity |
| Predicate | hasAirport |
P105
|
FINISHED |
| Object | Sauce Viejo Airport |
E337075
|
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: Sauce Viejo Airport | Statement: [Santa Fe, hasAirport, Sauce Viejo Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sauce Viejo Airport Context triple: [Santa Fe, hasAirport, Sauce Viejo Airport]
-
A.
Sauce Viejo Airport
chosen
Sauce Viejo Airport is a regional airport serving the city of Santa Fe and its surrounding area in Argentina.
-
B.
El Lencero Airport
El Lencero Airport is a small regional airport serving the city of Xalapa and the surrounding area in the state of Veracruz, Mexico.
-
C.
Yariguíes Airport
Yariguíes Airport is a public airport serving the city of Barrancabermeja in the Santander Department of Colombia.
-
D.
La Vanguardia Airport
La Vanguardia Airport is a regional airport serving the city of Villavicencio in Colombia’s Meta Department, handling domestic flights and acting as a key hub for access to the Llanos region.
-
E.
Balbuena Military Airport
Balbuena Military Airport was the earlier military airfield in Mexico City that evolved into today’s Mexico City International Airport.
- 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_69d6aa979bdc8190bf0e79104cc098c1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7982d42bc81908ac10f54a7b43fb7 |
completed | April 9, 2026, 12:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4831ba3688190bee08ca29872ab3b |
completed | April 19, 2026, 7:24 a.m. |
Created at: April 8, 2026, 9:26 p.m.