Triple

T239316
Position Surface form Disambiguated ID Type / Status
Subject Cundinamarca Department E4892 entity
Predicate contains P35 FINISHED
Object Chía E31475 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: Chía | Statement: [Cundinamarca Department, contains, Chía]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chía
Context triple: [Cundinamarca Department, contains, Chía]
  • A. Chía chosen
    Chía is a municipality in the department of Cundinamarca, Colombia, known for its rapid urban growth and proximity to the capital city, Bogotá.
  • B. Tebu
    Tebu is a Saharan ethnic group and language community primarily inhabiting parts of southern Libya, Chad, and Niger.
  • C. Argemone
    Argemone is a genus of prickly poppy plants known for their spiny foliage and showy, often yellow or white flowers, native mainly to the Americas.
  • D. Macleaya
    Macleaya is a small genus of tall, herbaceous flowering plants known as plume poppies, cultivated for their ornamental foliage and feathery flower plumes.
  • E. Lupinus
    Lupinus is a large genus of flowering plants in the legume family, commonly known as lupines, noted for their tall, colorful flower spikes and nitrogen-fixing ability.
  • 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_69a257c3d0708190b0871c4269d273e6 completed Feb. 28, 2026, 2:49 a.m.
NER Named-entity recognition batch_69a25ceaecdc81909e9ff49cb6a4e02a completed Feb. 28, 2026, 3:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69a36cf0474c8190834287d57cea7582 completed Feb. 28, 2026, 10:32 p.m.
Created at: Feb. 28, 2026, 2:53 a.m.