Triple
T23498637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | main square of Potosí |
E571772
|
entity |
| Predicate | centralPlaceOf |
P18768
|
FINISHED |
| Object | Potosí |
—
|
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: Potosí | Statement: [main square of Potosí, centralPlaceOf, Potosí]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Potosí Context triple: [main square of Potosí, centralPlaceOf, Potosí]
-
A.
Potosí
chosen
Potosí is a historic Bolivian city famed for its once immensely productive silver mines at Cerro Rico, which made it one of the richest and largest cities in the world during the Spanish colonial era.
-
B.
Potosí
Potosí is a municipality in the Rivas Department of southwestern Nicaragua, known for its rural character and proximity to the Pacific coast.
-
C.
Huayna Potosí
Huayna Potosí is a prominent, glaciated mountain in the Bolivian Andes, popular with climbers for its relatively accessible high-altitude ascent.
-
D.
Potos
Potos is a genus of arboreal mammals best known for the kinkajou, a nocturnal, fruit-eating rainforest species with a prehensile tail.
-
E.
Potos
Potos is a coastal village and popular tourist resort on the Greek island of Thasos in the northern Aegean Sea.
- 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_69e245b4829881909b77a70e942bbd54 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a7e184ec8190aff3677c9b00a8f2 |
completed | April 29, 2026, 6:40 a.m. |
Created at: April 17, 2026, 6:06 p.m.