Triple
T2380816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State of Michoacán |
E46305
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Apatzingán |
E250418
|
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: Apatzingán | Statement: [State of Michoacán, containsCity, Apatzingán]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Apatzingán Context triple: [State of Michoacán, containsCity, Apatzingán]
-
A.
Apatzingán
chosen
Apatzingán is a city in the Mexican state of Michoacán, historically notable as a key site in the country’s early independence movement.
-
B.
Ocotlán
Ocotlán is a city in the Mexican state of Jalisco, known for its furniture industry, religious traditions, and location near Lake Chapala.
-
C.
Tututepec
Tututepec was a prominent pre-Columbian Mixtec city-state and political center located on the Pacific coast of present-day Oaxaca, Mexico.
-
D.
Chimalhuacán
Chimalhuacán is a densely populated urban municipality in the eastern part of the State of Mexico, forming part of the Mexico City metropolitan area.
-
E.
Ixtlán del Río
Ixtlán del Río is a town and municipality in the southern part of the Mexican state of Nayarit, known for its nearby archaeological sites and agricultural 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_69a88a1554a48190a0180682bcf099be |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abc7b7c9188190a824e4b469bc1548 |
completed | March 7, 2026, 6:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af5cce716c8190b87b117b270b9a84 |
completed | March 9, 2026, 11:50 p.m. |
Created at: March 4, 2026, 7:57 p.m.