Triple
T20414178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Picún Leufú Department |
E500663
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Picún Leufú |
—
|
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: Picún Leufú | Statement: [Picún Leufú Department, capital, Picún Leufú]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Picún Leufú Context triple: [Picún Leufú Department, capital, Picún Leufú]
-
A.
Picún Leufú
chosen
Picún Leufú is a town in the Neuquén Province of Argentina that serves as an administrative and service center for the surrounding rural region.
-
B.
Combarbalá
Combarbalá is a small Chilean town and municipality in the Coquimbo Region, known for its semi-arid landscapes, goat farming, and distinctive combarbalite stone crafts.
-
C.
Tumbalá
Tumbalá is a municipality in the Mexican state of Chiapas, known for its lush jungle landscapes and proximity to popular natural attractions.
-
D.
Paraguachón
Paraguachón is a small but important border town that serves as a key crossing point for trade and travel between Colombia and Venezuela.
-
E.
Orocué
Orocué is a small Colombian town and municipality located in the eastern plains region, known for its cattle ranching and proximity to the Meta River.
- 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_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a4281048190a2b016ec16b7d203 |
completed | April 20, 2026, 7:10 p.m. |
Created at: April 16, 2026, 11:30 a.m.