Triple
T1377183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zacatecas |
E29251
|
entity |
| Predicate | capitalOf |
P204
|
FINISHED |
| Object | Zacatecas City |
E220980
|
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: Zacatecas City | Statement: [Zacatecas, capitalOf, Zacatecas City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zacatecas City Context triple: [Zacatecas, capitalOf, Zacatecas City]
-
A.
Zacatecas City
chosen
Zacatecas City is a historic colonial city in north-central Mexico, renowned for its silver-mining heritage, baroque architecture, and UNESCO-listed historic center.
-
B.
Chihuahua City
Chihuahua City is a major urban and industrial center in northern Mexico known for its colonial architecture, mining history, and role in the Mexican Revolution.
-
C.
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.
-
D.
Culiacán
Culiacán is the largest city and main economic and cultural center of the Mexican state of Sinaloa.
-
E.
Querétaro City
Querétaro City is a historic and rapidly growing urban center in central Mexico, known for its well-preserved colonial architecture and strong industrial and technological economy.
- 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_69a498d883a48190bfdca525296ef7ee |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c31602b8819087a57e8d390cae7a |
completed | March 1, 2026, 10:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae0aa0ca0c8190b2d326bf39f750b0 |
completed | March 8, 2026, 11:47 p.m. |
Created at: March 1, 2026, 7:59 p.m.