Triple
T18940727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toltén River |
E463372
|
entity |
| Predicate | nameInSpanish |
P2789
|
FINISHED |
| Object | Río Toltén |
—
|
NE NERFINISHED |
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: Río Toltén | Statement: [Toltén River, nameInSpanish, Río Toltén]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Río Toltén Context triple: [Toltén River, nameInSpanish, Río Toltén]
-
A.
Río Churubusco
Río Churubusco is a bus rapid transit station on Mexico City’s Metrobús system, serving Line 2 in the southeastern part of the city.
-
B.
Río Cuautla
Río Cuautla is a river in the Mexican state of Morelos that flows near the city of Cuernavaca and plays an important role in the region’s ecology and water supply.
-
C.
Río Acaponeta
Río Acaponeta is a river in western Mexico that flows through the state of Nayarit before emptying into the Gulf of California.
-
D.
Toltén River
chosen
The Toltén River is a major watercourse in southern Chile that flows westward from the Andes to the Pacific Ocean, draining the Villarrica Lake basin.
-
E.
Río Yautepec
Río Yautepec is a river in the Mexican state of Morelos that flows through several municipalities and supports local agriculture and communities along its course.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcfec90481909e926be9767e5779 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d3eba60081909c9027d1988f88ad |
completed | April 20, 2026, 7:21 a.m. |
Created at: April 10, 2026, 11:59 a.m.