Triple
T13845057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uruapan |
E332778
|
entity |
| Predicate | locatedEastOf |
P4240
|
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: [Uruapan, locatedEastOf, Apatzingán]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Apatzingán Context triple: [Uruapan, locatedEastOf, 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.
Ayotlán
Ayotlán is a municipality and town in the Los Altos region of the Mexican state of Jalisco, known for its agricultural traditions and regional culture.
-
C.
Zapotitlán
Zapotitlán is a metro station in Mexico City that serves passengers on Line 12 of the city’s rapid transit system.
-
D.
Poncitlán
Poncitlán is a municipality and town in the Mexican state of Jalisco, known for its agricultural activity and proximity to Lake Chapala.
-
E.
Ocotlán
Ocotlán is a city in the Mexican state of Jalisco, known for its furniture industry, religious traditions, and location near Lake Chapala.
- 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02b1a25c8190a9f85ba43c421188 |
completed | April 14, 2026, 9:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0cce10c88190bf25404fc4c75bbf |
completed | May 8, 2026, 4:18 p.m. |
Created at: April 9, 2026, 10:13 p.m.