Triple
T23068408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Río Limay |
E575119
|
entity |
| Predicate | nearCity |
P350
|
FINISHED |
| Object | Cipolletti |
—
|
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: Cipolletti | Statement: [Río Limay, nearCity, Cipolletti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cipolletti Context triple: [Río Limay, nearCity, Cipolletti]
-
A.
Cipolletti
chosen
Cipolletti is a city in Argentina’s Patagonia region, known as an important agricultural and service center in the Alto Valle of the Río Negro.
-
B.
Petrohué
Petrohué is a small Chilean locality in the Los Lagos Region, known as a gateway to the scenic Todos los Santos Lake and the nearby Petrohué Waterfalls in Vicente Pérez Rosales National Park.
-
C.
Chilecito
Chilecito is a city in northwestern Argentina known for its wine production, mining history, and scenic Andean surroundings.
-
D.
Melipeuco
Melipeuco is a small Andean foothill town and commune in southern Chile known for its proximity to Conguillío National Park and the Llaima volcano.
-
E.
Río Bueno
Río Bueno is a Chilean city known for its agricultural surroundings and location along the Bueno River in the Los Ríos Region.
- 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_69e245bd6e4c8190bb8942245b68cad5 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f189a5aa4081909b3f0dc92877323d |
completed | April 29, 2026, 4:31 a.m. |
Created at: April 17, 2026, 3:55 p.m.