Triple
T3408919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Upper Peru |
E71842
|
entity |
| Predicate | mainCity |
P3207
|
FINISHED |
| Object | Cochabamba |
E38647
|
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: Cochabamba | Statement: [Upper Peru, mainCity, Cochabamba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cochabamba Context triple: [Upper Peru, mainCity, Cochabamba]
-
A.
Cochabamba
chosen
Cochabamba is a major city in central Bolivia known for its mild climate, agricultural productivity, and role as an important economic and cultural center.
-
B.
Tarija
Tarija is a city in southern Bolivia known for its colonial architecture, mild climate, and surrounding wine-producing valleys.
-
C.
La Paz
La Paz is the administrative capital and one of the major cities of Bolivia, known for its dramatic setting in a deep valley of the Andes at one of the highest elevations of any capital city in the world.
-
D.
La Paz
La Paz is the capital city of Baja California Sur in Mexico, known for its coastal location on the Gulf of California, marine biodiversity, and laid-back seaside atmosphere.
-
E.
Santa Cruz de la Sierra
Santa Cruz de la Sierra is Bolivia’s largest and most populous city, a major economic hub in the country’s eastern lowlands known for its rapid growth and vibrant commercial activity.
- 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_69ad85ac312481909e7027ced1456a9f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb9056acc8190a9c50ec374851ac8 |
completed | March 8, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b367f369248190b411098b5654b8ad |
completed | March 13, 2026, 1:27 a.m. |
Created at: March 8, 2026, 3:15 p.m.