Triple

T32238494
Position Surface form Disambiguated ID Type / Status
Subject Daniel Campos Province E823537 entity
Predicate borderProvince P32798 FINISHED
Object Enrique Baldivieso Province
Enrique Baldivieso Province is a sparsely populated administrative division in southwestern Bolivia’s Potosí Department, known for its high-altitude Andean landscapes and proximity to major salt flats and volcanic formations.
E2003213 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: Enrique Baldivieso Province | Statement: [Daniel Campos Province, borderProvince, Enrique Baldivieso Province]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Enrique Baldivieso Province
Triple: [Daniel Campos Province, borderProvince, Enrique Baldivieso Province]
Generated description
Enrique Baldivieso Province is a sparsely populated administrative division in southwestern Bolivia’s Potosí Department, known for its high-altitude Andean landscapes and proximity to major salt flats and volcanic formations.

Provenance (5 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_69f3490c140481908ed53b98b561eaa1 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6bc00aea88190917a1ac58d2f5117 completed May 3, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a33e88cec1081908382d5c42b578410 completed June 18, 2026, 12:46 p.m.
NEDg Description generation batch_6a33e9686bd08190a0e2e705670ce6ea completed June 18, 2026, 12:49 p.m.
NED2 Entity disambiguation (via description) batch_6a341e5c4ad88190b278ef9dbf9ac3a2 completed June 18, 2026, 4:35 p.m.
Created at: May 1, 2026, 12:39 a.m.