Triple
T7375810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chapala |
E170119
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Ribera de Chapala |
E170119
|
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: Ribera de Chapala | Statement: [Chapala, partOf, Ribera de Chapala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ribera de Chapala Context triple: [Chapala, partOf, Ribera de Chapala]
-
A.
Valle del Mezquital
Valle del Mezquital is a semi-arid cultural and agricultural region in central Mexico known for its indigenous Otomí communities and traditional maguey cultivation.
-
B.
Chapala
chosen
Chapala is a lakeside town in the Mexican state of Jalisco, known for its location on the shores of Lake Chapala, the country’s largest freshwater lake.
-
C.
Lake Chapala
Lake Chapala is Mexico’s largest freshwater lake, located in western Mexico and known for its ecological importance and surrounding lakeside communities.
-
D.
Valle de Banderas
Valle de Banderas is a town in the Mexican state of Nayarit that serves as the administrative and cultural center of the surrounding Bahía de Banderas region.
-
E.
Escuinapa
Escuinapa is a coastal municipality and town in southern Sinaloa, Mexico, known for its fishing, agriculture, and shrimp farming.
- 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_69c68a5bfaac81909ce7f001dfb70c76 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1a780f88190abf11994e307b6ad |
completed | March 27, 2026, 9:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81ec60d8481908e1e94ad87529a51 |
completed | March 28, 2026, 6:32 p.m. |
Created at: March 27, 2026, 3:07 p.m.