Triple
T7375809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chapala |
E170119
|
entity |
| Predicate | sharesNameWith |
P15168
|
FINISHED |
| Object | Lake Chapala |
E172150
|
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: Lake Chapala | Statement: [Chapala, sharesNameWith, Lake Chapala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Chapala Context triple: [Chapala, sharesNameWith, Lake Chapala]
-
A.
Lake Chapala
chosen
Lake Chapala is Mexico’s largest freshwater lake, located in western Mexico and known for its ecological importance and surrounding lakeside communities.
-
B.
Chapala
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.
Lagos de Moreno
Lagos de Moreno is a historic colonial city in central-western Mexico known for its well-preserved architecture and cultural heritage.
-
D.
Lake Xaltocan
Lake Xaltocan was one of the interconnected lakes in the Valley of Mexico that formed part of the broader lacustrine system surrounding pre-Hispanic cities such as those of the Aztec civilization.
-
E.
Cuatro Ciénegas
Cuatro Ciénegas is a Mexican town and protected natural area renowned for its unique desert wetlands, endemic species, and striking gypsum dunes and pools.
- 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_69c810e3c2bc8190a455dac60dfdbc97 |
completed | March 28, 2026, 5:33 p.m. |
Created at: March 27, 2026, 3:07 p.m.