Triple
T16564615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lerma River |
E402426
|
entity |
| Predicate | associatedCity |
P3207
|
FINISHED |
| Object | Toluca |
E141323
|
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: Toluca | Statement: [Lerma River, associatedCity, Toluca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toluca Context triple: [Lerma River, associatedCity, Toluca]
-
A.
Toluca
chosen
Toluca is a major city and the capital of the State of Mexico, known for its high altitude, industrial activity, and proximity to the Nevado de Toluca volcano.
-
B.
Zacatepec
Zacatepec is a Mexican professional football club historically known for competing in the country's top divisions and developing notable players.
-
C.
Toluca metropolitan area
The Toluca metropolitan area is a major urban and industrial region in central Mexico centered on the city of Toluca, serving as an important economic and transportation hub west of Mexico City.
-
D.
Chicoloapan
Chicoloapan is a municipality and growing suburban city in the State of Mexico, located in the eastern part of the Mexico City metropolitan area.
-
E.
Celaya
Celaya is a major city and industrial municipality in the Mexican state of Guanajuato, known for its manufacturing sector and traditional cajeta (goat’s milk caramel).
- 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3577043048190bc9bcf55069b769f |
completed | April 18, 2026, 10:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0091891c5081908f37598a17417c94 |
completed | May 10, 2026, 2:09 p.m. |
Created at: April 10, 2026, 5:15 a.m.