Triple
T559653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Altiplano plateau |
E13418
|
entity |
| Predicate | notableCity |
P2813
|
FINISHED |
| Object | Oruro |
E39084
|
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: Oruro | Statement: [Altiplano plateau, notableCity, Oruro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oruro Context triple: [Altiplano plateau, notableCity, Oruro]
-
A.
Oruro
chosen
Oruro is a city in western Bolivia best known for its rich mining history and its UNESCO-recognized Carnival, one of South America's most famous folkloric festivals.
-
B.
Cochabamba
Cochabamba is a major city in central Bolivia known for its mild climate, agricultural productivity, and role as an important economic and cultural center.
-
C.
Tocancipá
Tocancipá is a Colombian municipality in the department of Cundinamarca, known for its industrial activity, motorsport circuit, and proximity to Bogotá.
-
D.
Andacollo
Andacollo is a small mining town and municipality in Chile’s Coquimbo Region, known for its copper deposits and the religious shrine of the Virgin of Andacollo.
-
E.
Sibaté
Sibaté is a municipality in central Colombia known for its agricultural production and proximity to Bogotá within the Cundinamarca Department.
- 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_69a4933edcf08190b35ecfd6014caee6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a499e13694819087a236bffa6601a9 |
completed | March 1, 2026, 7:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a533bc40ac81908426b70366259a3b |
completed | March 2, 2026, 6:52 a.m. |
Created at: March 1, 2026, 7:32 p.m.