Triple
T7134350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bajío |
E166267
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Aguascalientes |
E65507
|
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: Aguascalientes | Statement: [Bajío, hasPart, Aguascalientes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aguascalientes Context triple: [Bajío, hasPart, Aguascalientes]
-
A.
Aguascalientes
chosen
Aguascalientes is a centrally located Mexican state known for its industrial growth, colonial architecture, and the famous San Marcos Fair.
-
B.
San Luis Potosí
San Luis Potosí is a central Mexican state known for its diverse landscapes—from the arid high plateau to the lush Huasteca region—rich mining history, and colonial-era architecture.
-
C.
Querétaro
Querétaro is a central Mexican state known for its colonial-era capital city, growing industrial economy, and location at the junction of major mountain and plateau regions.
-
D.
Puebla
Puebla is a historic and culturally rich city in central Mexico, renowned for its colonial architecture, culinary traditions like mole poblano, and its role in the Battle of Puebla commemorated on Cinco de Mayo.
-
E.
Puebla
Puebla is a metro station on Mexico City’s rapid transit system, serving passengers along Line 9 in the eastern part of the city.
- 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_69c68884a9388190af42f90d1c1a7151 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e68f15bc8190a4d82b8ee388f497 |
completed | March 27, 2026, 8:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ca1463cacc8190b143ab1ced648ec7 |
completed | March 30, 2026, 6:12 a.m. |
Created at: March 27, 2026, 2:45 p.m.