Triple

T1548918
Position Surface form Disambiguated ID Type / Status
Subject Zipaquirá E33041 entity
Predicate hasNearbyCity P350 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: [Zipaquirá, hasNearbyCity, Chía]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chía
Context triple: [Zipaquirá, hasNearbyCity, 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. Hahnenklee
    Hahnenklee is a village in the Harz Mountains of Germany, known as a popular tourist resort for hiking, winter sports, and its distinctive stave church.
  • C. Peruna
    Peruna is the live Shetland pony that serves as the official mascot of Southern Methodist University's athletic teams.
  • D. Fibra Uno
    Fibra Uno is a major Mexican real estate investment trust (FIBRA) that owns and operates a large portfolio of commercial properties across Mexico.
  • E. Molokhia
    Molokhia is a traditional Middle Eastern and North African dish made from finely chopped jute leaves cooked into a garlicky, often chicken- or rabbit-based green stew commonly served over rice or with bread.
  • 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_69a885ee6db8819099502bc5ce8af881 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90856642c81909d88a679eb265b10 completed March 5, 2026, 4:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad30a29ae88190ab1b2ca97b8ed09c completed March 8, 2026, 8:17 a.m.
Created at: March 4, 2026, 7:26 p.m.