Triple

T1534498
Position Surface form Disambiguated ID Type / Status
Subject Soacha E32519 entity
Predicate hasNeighbouringMunicipality P224 FINISHED
Object Bojacá E167588 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: Bojacá | Statement: [Soacha, hasNeighbouringMunicipality, Bojacá]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bojacá
Context triple: [Soacha, hasNeighbouringMunicipality, Bojacá]
  • A. Bojacá chosen
    Bojacá is a municipality in the Cundinamarca Department of Colombia, located in the Bogotá savanna near the country's capital.
  • B. Vračar
    Vračar is a central urban municipality of Belgrade, Serbia, known for its cultural landmarks, dense urban fabric, and historical significance.
  • C. Armata del Po
    Armata del Po was a major field army formation of the Royal Italian Army, active primarily during World War II and named after the Po River region in northern Italy.
  • D. Pobeda
    Pobeda is a Russian low-cost airline and a subsidiary of Aeroflot, operating domestic and international flights primarily from Moscow.
  • E. Strijen
    Strijen is a small town and former municipality located on the Hoeksche Waard island in the Dutch province of South Holland.
  • 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_69a885ea86308190998f6bc14bb91f8e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa61f8df00819086f34847e2170e12 completed March 6, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad295da0988190b1dc171bcdfe4d71 completed March 8, 2026, 7:46 a.m.
Created at: March 4, 2026, 7:26 p.m.