Triple
T7786880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santos Laguna |
E187267
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Torreón |
E249379
|
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: Torreón | Statement: [Santos Laguna, city, Torreón]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Torreón Context triple: [Santos Laguna, city, Torreón]
-
A.
Torreón
chosen
Torreón is a major industrial and commercial city in northern Mexico known for its manufacturing, agriculture, and role as an economic hub in the state of Coahuila.
-
B.
Monclova
Monclova is an industrial city in northern Mexico known as a major steel-producing center in the state of Coahuila.
-
C.
Ciudad Acuña
Ciudad Acuña is a Mexican border city in Coahuila, known for its location across from Del Rio, Texas, and for serving as the primary filming location of Robert Rodriguez’s film "El Mariachi."
-
D.
Irapuato
Irapuato is a Mexican professional football club based in the city of Irapuato, Guanajuato, known for its passionate fan base and history in the country’s lower divisions.
-
E.
Matamoros
Matamoros is a Mexican border city in the state of Tamaulipas, located directly across the Rio Grande from Brownsville, Texas, and known as an important hub for trade and manufacturing.
- 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_69ca82af2d2c8190963861f5e0b8bf21 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cadf2462248190863f838f0e077923 |
completed | March 30, 2026, 8:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbdea8e0ec8190a88dae9f0097ca16 |
completed | March 31, 2026, 2:48 p.m. |
Created at: March 30, 2026, 4:24 p.m.