Triple

T32238493
Position Surface form Disambiguated ID Type / Status
Subject Daniel Campos Province E823537 entity
Predicate borderProvince P32798 FINISHED
Object Nor Lípez Province
Nor Lípez Province is a sparsely populated, high-altitude province in southwestern Bolivia known for its dramatic Andean landscapes, salt flats, and proximity to the Uyuni region.
 E2002353 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: Nor Lípez Province | Statement: [Daniel Campos Province, borderProvince, Nor Lípez 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: Nor Lípez Province
Triple: [Daniel Campos Province, borderProvince, Nor Lípez Province]
Generated description
Nor Lípez Province is a sparsely populated, high-altitude province in southwestern Bolivia known for its dramatic Andean landscapes, salt flats, and proximity to the Uyuni region.

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_6a3056f627488190b6740999510b4fd8 completed June 15, 2026, 7:48 p.m.
NEDg Description generation batch_6a31b0156b30819095927096a6205842 completed June 16, 2026, 8:20 p.m.
NED2 Entity disambiguation (via description) batch_6a31b17557e88190b6c66d1f8a37ae13 completed June 16, 2026, 8:26 p.m.
Created at: May 1, 2026, 12:39 a.m.