Triple
T22348838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Chocón Dam |
E552471
|
entity |
| Predicate | nearCity |
P350
|
FINISHED |
| Object | Neuquén |
—
|
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: Neuquén | Statement: [El Chocón Dam, nearCity, Neuquén]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neuquén Context triple: [El Chocón Dam, nearCity, Neuquén]
-
A.
Santiago del Estero
Santiago del Estero is a historic city in northern Argentina that serves as the capital of Santiago del Estero Province and is considered one of the country’s oldest continuously inhabited settlements.
-
B.
Neuquén Province
chosen
Neuquén Province is a region in western Argentina known for its Andean landscapes, oil and gas production, and popular Patagonian tourist destinations.
-
C.
Mendoza
Mendoza is a common Spanish-language surname borne by numerous notable individuals across the Spanish-speaking world.
-
D.
Mendoza
Mendoza is a major city in western Argentina known as a gateway to the Andes and the country’s premier wine-producing region.
-
E.
Mendoza Province
Mendoza Province is a region in western Argentina known for its Andean landscapes, including the towering Aconcagua peak, and its prominent wine-producing industry.
- 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_69e11e4a0ad08190a385b4d343cf6524 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1579a1c308190ae2174f99ae317ab |
completed | April 29, 2026, 12:58 a.m. |
Created at: April 16, 2026, 8:43 p.m.