Triple

T7602531
Position Surface form Disambiguated ID Type / Status
Subject Facatativeño E180018 entity
Predicate feminineForm P17779 FINISHED
Object Facatativeña E180018 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: Facatativeña | Statement: [Facatativeño, feminineForm, Facatativeña]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Facatativeña
Context triple: [Facatativeño, feminineForm, Facatativeña]
  • A. Facatativeño chosen
    Facatativeño is the Spanish term for a person from Facatativá, a municipality in the Cundinamarca department of Colombia.
  • B. Gachancipá
    Gachancipá is a municipality in the Cundinamarca Department of Colombia, located in the central highlands near Bogotá.
  • C. Tagüeña
    Tagüeña is a Spanish surname most notably associated with Manuel Tagüeña, a Republican military officer and physicist active during the Spanish Civil War.
  • D. Chacala
    Chacala is a small coastal village and beach destination on Mexico’s Pacific coast in the state of Nayarit, known for its tranquil atmosphere, surfing, and ecotourism.
  • E. Fagasa
    Fagasa is a coastal village on the island of Tutuila in American Samoa, known for its scenic bay and surrounding rainforest-covered hills.
  • 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_69c69f3567008190ab01d2ca7b53584a completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f9f8e7848190b44d9c16b9c95d37 completed March 27, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8684a98fc8190b3d0568f13ccd123 completed March 28, 2026, 11:46 p.m.
Created at: March 27, 2026, 3:54 p.m.