Triple
T3065310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silao, Guanajuato, Mexico |
E62090
|
entity |
| Predicate | hasAirportRole |
P16381
|
FINISHED |
| Object | hosts main airport for León–Guanajuato area |
—
|
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: hosts main airport for León–Guanajuato area | Statement: [Silao, Guanajuato, Mexico, hasAirportRole, hosts main airport for León–Guanajuato area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAirportRole Context triple: [Silao, Guanajuato, Mexico, hasAirportRole, hosts main airport for León–Guanajuato area]
-
A.
airportServesAs
chosen
Indicates that an airport functions in a particular role or capacity (such as primary, secondary, or hub) for a specified area, organization, or service.
-
B.
airportRole
Indicates that an entity serves a specific functional role or capacity within the context of an airport.
-
C.
isCivilAirport
Indicates that an airport is designated and used primarily for civilian (non-military) aviation operations.
-
D.
airportUse
Indicates that an airport is used or utilized by a particular entity, such as an airline, organization, or service.
-
E.
isPublicAirport
Indicates that an airport is open for use by the general public rather than restricted to private or military operations.
- 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_69ad85793e5c8190a358049bc4a98d8c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada0fc01dc81908fbdf7c1ef73afe4 |
completed | March 8, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69ad9624b7a0819091d255614f5819ea |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3:02 p.m.