Triple
T7457054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Chapala |
E172150
|
entity |
| Predicate | nearCity |
P350
|
FINISHED |
| Object | Ocotlán |
E217931
|
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: Ocotlán | Statement: [Lake Chapala, nearCity, Ocotlán]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ocotlán Context triple: [Lake Chapala, nearCity, Ocotlán]
-
A.
Ocotlán
chosen
Ocotlán is a city in the Mexican state of Jalisco, known for its furniture industry, religious traditions, and location near Lake Chapala.
-
B.
Eloxochitlán
Eloxochitlán is a locality in the Mexican state of Hidalgo that lies within the geologically significant Comarca Minera UNESCO Global Geopark.
-
C.
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.
-
D.
Apatzingán
Apatzingán is a city in the Mexican state of Michoacán, historically notable as a key site in the country’s early independence movement.
-
E.
Poncitlán
Poncitlán is a municipality and town in the Mexican state of Jalisco, known for its agricultural activity and proximity to 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_69c68a66554c8190add75c65942c0317 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f3b0780881909e645160dd49eb57 |
completed | March 27, 2026, 9:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c922a94b3881908a3482ca45891df7 |
completed | March 29, 2026, 1:01 p.m. |
Created at: March 27, 2026, 3:15 p.m.