Triple
T2286092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Mexico |
E51394
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Tuxtla Gutiérrez |
E254704
|
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: Tuxtla Gutiérrez | Statement: [Southern Mexico, hasMajorCity, Tuxtla Gutiérrez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tuxtla Gutiérrez Context triple: [Southern Mexico, hasMajorCity, Tuxtla Gutiérrez]
-
A.
Tuxtla Gutiérrez
chosen
Tuxtla Gutiérrez is the capital and largest city of the Mexican state of Chiapas, known as a regional political, economic, and transportation hub.
-
B.
Xalapa
Xalapa is a city in eastern Mexico known as the capital and cultural center of the state of Veracruz.
-
C.
Tapachula
Tapachula is a major city in southern Mexico near the Guatemalan border, known as a key commercial and migration hub in the state of Chiapas.
-
D.
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).
-
E.
Morelia
Morelia is the capital city of the Mexican state of Michoacán, known for its well-preserved colonial architecture and historic city center, a UNESCO World Heritage Site.
- 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_69a88b09c644819090b503456d96bf70 |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc24730208190af8a5cf443d334f7 |
completed | March 7, 2026, 6:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4fad35a0c8190a07cc7877fbfec04 |
completed | March 14, 2026, 6:06 a.m. |
Created at: March 4, 2026, 7:48 p.m.