Triple
T9867846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ciudad Valles |
E239878
|
entity |
| Predicate | river |
P165
|
FINISHED |
| Object | Río Valles |
E797620
|
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: Río Valles | Statement: [Ciudad Valles, river, Río Valles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Río Valles Context triple: [Ciudad Valles, river, Río Valles]
-
A.
Río Valles
chosen
Río Valles is a river in the Huasteca Potosina region of Mexico, known for feeding several scenic waterfalls and supporting local ecosystems and tourism.
-
B.
Río Seco
Río Seco is a coastal river in the municipality of Almuñécar in Spain’s Granada province, flowing through the town before reaching the Mediterranean Sea.
-
C.
Río Frío
Río Frío is a river in Colombia associated with the municipality of Piedecuesta in the Santander Department.
-
D.
Río Frío
Río Frío is a bus rapid transit station on Line 2 of the Metrobús system in Mexico City.
-
E.
Río Presidio
Río Presidio is a significant river in the Mexican state of Sinaloa that supports local agriculture, ecosystems, and nearby communities.
- 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_69ca84e7506c819095cbde4ff16512bb |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3d209ac8190b9bc9ff017a132da |
completed | April 2, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e15435faa881909b1a124f8027deeb |
completed | April 16, 2026, 9:27 p.m. |
Created at: March 30, 2026, 8:36 p.m.