Triple
T4802251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Viedma |
E106861
|
entity |
| Predicate | locatedOpposite |
P3232
|
FINISHED |
| Object | Carmen de Patagones |
E106862
|
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: Carmen de Patagones | Statement: [Viedma, locatedOpposite, Carmen de Patagones]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carmen de Patagones Context triple: [Viedma, locatedOpposite, Carmen de Patagones]
-
A.
Carmen de Patagones
chosen
Carmen de Patagones is a historic town in southern Argentina, known as the oldest settlement in Patagonia and situated on the banks of the Río Negro opposite the city of Viedma.
-
B.
The Gaucho
The Gaucho is a 1927 silent adventure film starring Douglas Fairbanks as a dashing South American cowboy hero in a tale of romance, action, and redemption.
-
C.
Fuego del Ande
Fuego del Ande is a musical work by Peruvian soprano Yma Sumac that showcases her extraordinary vocal range and Andean-influenced style.
-
D.
Nueve de Julio
Nueve de Julio is a city in Argentina, best known as the seat of the Roman Catholic Diocese of Nueve de Julio.
-
E.
Camoteros
Camoteros is the popular nickname for the Mexican football club Puebla FC and its supporters.
- 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_69bd43f6a1e08190bf0a372bfc336ee5 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6c42113081908824f3608e65cbff |
completed | March 20, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4d9e1ea88190b098d5203bd1d145 |
completed | March 21, 2026, 7:49 a.m. |
Created at: March 20, 2026, 1:23 p.m.