Triple
T12868587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guanajuato International Airport |
E307785
|
entity |
| Predicate | servesRegion |
P82
|
FINISHED |
| Object | Bajío |
E166267
|
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: Bajío | Statement: [Guanajuato International Airport, servesRegion, Bajío]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bajío Context triple: [Guanajuato International Airport, servesRegion, Bajío]
-
A.
Bajío
chosen
Bajío is a fertile, economically important region in central-western Mexico known for its agriculture, industry, and colonial cities.
-
B.
Xalisco
Xalisco is a municipality and town in the Mexican state of Nayarit, known for its agricultural activity and proximity to the state capital, Tepic.
-
C.
Guamúchil
Guamúchil is a city in the Mexican state of Sinaloa known as a regional commercial and agricultural center.
-
D.
Tecolotlán
Tecolotlán is a municipality and town in the state of Jalisco, Mexico, known for its rural landscapes, traditional culture, and location within the Sierra de Amula region.
-
E.
Coatlan
Coatlan was a Mesoamerican city-state that took part in the Tepanec War during the rise of the Aztec Triple Alliance.
- 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9708f510c8190b4c64dc340420e85 |
completed | April 10, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f5c044388190b0832e44c59a8537 |
completed | May 3, 2026, 7:14 a.m. |
Created at: April 9, 2026, 5:38 p.m.