Triple

T1582570
Position Surface form Disambiguated ID Type / Status
Subject Departamento de Cundinamarca E33998 entity
Predicate hasMajorCity P316 FINISHED
Object Girardot E33042 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: Girardot | Statement: [Departamento de Cundinamarca, hasMajorCity, Girardot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Girardot
Context triple: [Departamento de Cundinamarca, hasMajorCity, Girardot]
  • A. Girardot chosen
    Girardot is a Colombian city known as a major tourist and commercial center on the Magdalena River, popular for its warm climate and resort tourism.
  • B. Manizales
    Manizales is a mountainous Colombian city known for its coffee production, cool climate, and location in the central Andes.
  • C. Bucaramanga
    Bucaramanga is a major city in northeastern Colombia known for its mountainous setting, pleasant climate, and role as an important commercial and industrial center.
  • D. Pereira
    Pereira is a major Colombian city known as the capital of the Risaralda department and an important economic and cultural center in the country's coffee-growing region.
  • E. Santa Fe de Antioquia
    Santa Fe de Antioquia is a historic colonial town in northwestern Colombia renowned for its well-preserved Spanish architecture and cobblestone streets.
  • 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_69a885fceb2c8190b47e0f7c0aefbff0 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a908ef80a48190bd5a8e51c65e5588 completed March 5, 2026, 4:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3b2c2788190a22c3b45dedb1484 completed March 8, 2026, 10:09 p.m.
Created at: March 4, 2026, 7:27 p.m.