Triple
T1651786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State of Mexico |
E35708
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Toluca de Lerdo |
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 de Lerdo | Statement: [State of Mexico, capital, Toluca de Lerdo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toluca de Lerdo Context triple: [State of Mexico, capital, Toluca de Lerdo]
-
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.
Tlaxcala City
Tlaxcala City is the small colonial-era capital of the state of Tlaxcala in central Mexico, known for its historic architecture and role in early Spanish-Indigenous encounters.
-
C.
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.
-
D.
Tepic
Tepic is the capital city of the Mexican state of Nayarit, known as a regional commercial and transportation hub in western Mexico.
-
E.
Xalapa
Xalapa is a city in eastern Mexico known as the capital and cultural center of the state of Veracruz.
- 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_69a8860568888190a32cd9f70acbba42 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90a67c0308190a502fd9c6c0769bc |
completed | March 5, 2026, 4:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae26e9748081909532426be2f198d1 |
completed | March 9, 2026, 1:48 a.m. |
Created at: March 4, 2026, 7:29 p.m.