Triple

T6305532
Position Surface form Disambiguated ID Type / Status
Subject Oruro Department E141365 entity
Predicate contains P35 FINISHED
Object city of 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: city of Oruro | Statement: [Oruro Department, contains, city of Oruro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Oruro
Context triple: [Oruro Department, contains, city of Oruro]
  • A. Potosí city
    Potosí city is a historic Bolivian mining city that became one of the richest and largest urban centers in the world during the Spanish colonial era due to its vast silver deposits.
  • B. 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.
  • C. 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.
  • D. Tarija
    Tarija is a city in southern Bolivia known for its colonial architecture, mild climate, and surrounding wine-producing valleys.
  • E. 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.
  • 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_69c008cf0ad4819095def81e2bd42f9f completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06479acec819090306a155a03b774 completed March 22, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e44527488190b3d605e917c8dfb2 completed March 27, 2026, 1:58 a.m.
Created at: March 22, 2026, 4:28 p.m.