Triple
T7335132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chínipas Canyon |
E169107
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Chínipas River |
E633979
|
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: Chínipas River | Statement: [Chínipas Canyon, locatedNear, Chínipas River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chínipas River Context triple: [Chínipas Canyon, locatedNear, Chínipas River]
-
A.
Lozoya River
The Lozoya River is a mountain river in central Spain that flows through the Sierra de Guadarrama and supplies water to the Madrid region.
-
B.
Tejipió River
The Tejipió River is an urban waterway in Recife, Brazil, playing a significant role in the city's drainage system and environmental landscape.
-
C.
Batopilas River
chosen
The Batopilas River is a mountain river in the Sierra Madre Occidental of Chihuahua, Mexico, known for running through the deep Batopilas Canyon in the Copper Canyon region.
-
D.
Mocorito River
The Mocorito River is a waterway in the state of Sinaloa, Mexico, that supports local agriculture and communities along its course.
-
E.
Tecolutla River
The Tecolutla River is a coastal river in the Mexican state of Veracruz known for its tropical lowland course and importance to local agriculture, fishing, and ecotourism.
- 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_69c68a568a6481908f11e20db7bc8446 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f0c38d6c81908a57ef1eea0e4951 |
completed | March 27, 2026, 9:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84ede6c4c8190ad7ade8ce3bbc35e |
completed | March 28, 2026, 9:57 p.m. |
Created at: March 27, 2026, 3:04 p.m.