Triple
T1157116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Potosí |
E24407
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Potosí Department |
E146260
|
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: Potosí Department | Statement: [Potosí, locatedIn, Potosí Department]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Potosí Department Context triple: [Potosí, locatedIn, Potosí Department]
-
A.
Potosí Department
chosen
Potosí Department is a high-altitude region in southwestern Bolivia known for its historic silver mining city of Potosí and vast Andean landscapes.
-
B.
Sucre Department
Sucre Department is an administrative region in northern Colombia, known for its Caribbean coastline, agricultural economy, and capital city Sincelejo.
-
C.
Oruro Department
Oruro Department is a high-altitude administrative region in western Bolivia known for its Andean landscapes, mining heritage, and vibrant Carnival of Oruro.
-
D.
La Paz Department
La Paz Department is a highland administrative region in western Bolivia that includes the city of La Paz and encompasses part of the Lake Titicaca basin in the Andes.
-
E.
Orellana Province
Orellana Province is an Amazonian region in northeastern Ecuador known for its vast tropical rainforests, rich biodiversity, and significant oil reserves.
- 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_69a494060e148190abb42f971242c197 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bc92ae008190a587c12ecc9a502a |
completed | March 1, 2026, 10:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acb2f3df34819090d942aad0a409fa |
completed | March 7, 2026, 11:21 p.m. |
Created at: March 1, 2026, 7:44 p.m.