Triple
T1232461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Mexico |
E26473
|
entity |
| Predicate | contains |
P35
|
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: [Central Mexico, contains, Toluca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toluca Context triple: [Central Mexico, contains, 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.
San Luis Potosí City
San Luis Potosí City is the capital of the Mexican state of San Luis Potosí, known for its colonial architecture, mining history, and role as a cultural and economic center in north-central Mexico.
-
C.
Xalapa
Xalapa is a city in eastern Mexico known as the capital and cultural center of the state of Veracruz.
-
D.
Naucalpan de Juárez
Naucalpan de Juárez is a large industrial and residential city in the State of Mexico that forms part of the Mexico City metropolitan area.
-
E.
Guadalajara
Guadalajara is a large cultural and economic hub in western Mexico, renowned for its colonial architecture, mariachi music, and role as a major center of industry and technology.
- 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_69a4948571c88190a9191e451e6035fd |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be5b40208190b115a6a344402caf |
completed | March 1, 2026, 10:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acb2f8a4208190bfcfeccc886de987 |
completed | March 7, 2026, 11:21 p.m. |
Created at: March 1, 2026, 7:47 p.m.