Triple
T1396577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Mexico |
E30679
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Tepic |
E173358
|
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: Tepic | Statement: [Western Mexico, hasMajorCity, Tepic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tepic Context triple: [Western Mexico, hasMajorCity, Tepic]
-
A.
Tepic
chosen
Tepic is the capital city of the Mexican state of Nayarit, known as a regional commercial and transportation hub in western Mexico.
-
B.
Toluca
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.
-
C.
Xalapa
Xalapa is a city in eastern Mexico known as the capital and cultural center of the state of Veracruz.
-
D.
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.
-
E.
Guasave
Guasave is a coastal agricultural and fishing city and municipality in the north-central region of the Mexican state of Sinaloa.
- 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_69a498fd4e408190bd73eca30ea9754c |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c3817320819093067b1444d70b74 |
completed | March 1, 2026, 10:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad400e0a8c8190956ec444b86aa28c |
completed | March 8, 2026, 9:23 a.m. |
Created at: March 1, 2026, 7:59 p.m.