Triple

T14577239
Position Surface form Disambiguated ID Type / Status
Subject Carchi Province E342084 entity
Predicate hasUrbanCenter P2106 FINISHED
Object Tulcán E1029071 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: Tulcán | Statement: [Carchi Province, hasUrbanCenter, Tulcán]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tulcán
Context triple: [Carchi Province, hasUrbanCenter, Tulcán]
  • A. Tulcán chosen
    Tulcán is a city in northern Ecuador, capital of Carchi Province, known as a key Andean border crossing with Colombia and for its famous topiary cemetery.
  • B. Calarcá
    Calarcá is a Colombian town and municipality in the coffee-growing Quindío Department, known for its cultural heritage and role in the Coffee Cultural Landscape.
  • C. Soacha
    Soacha is a rapidly growing industrial and residential city in central Colombia, located just southwest of Bogotá in the department of Cundinamarca.
  • D. Quibdó
    Quibdó is the capital of Colombia’s Chocó Department, known for its Afro-Colombian culture, heavy rainfall, and location along the Atrato River in the country’s Pacific rainforest region.
  • E. Yopal
    Yopal is a city in eastern Colombia that serves as the main urban and economic center of the Llanos (plains) region in the Casanare Department.
  • 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb3f5ec448190b2ef887fdf7b633e completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda91437e08190a41683f1777a8507 completed May 8, 2026, 9:12 a.m.
Created at: April 10, 2026, 1:24 a.m.