Triple

T16464739
Position Surface form Disambiguated ID Type / Status
Subject Sula Valley E399899 entity
Predicate majorCity P316 FINISHED
Object Villanueva E1059921 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: Villanueva | Statement: [Sula Valley, majorCity, Villanueva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Villanueva
Context triple: [Sula Valley, majorCity, Villanueva]
  • A. Villanueva
    Villanueva is a municipality and town in northwestern Nicaragua, located within the Chinandega Department.
  • B. Villanueva
    Villanueva is a municipality and town located in the Bolívar Department of northern Colombia.
  • C. Villanueva
    Villanueva is a municipality in Colombia’s Casanare Department, known for its llanero culture and cattle-ranching traditions on the eastern plains.
  • D. Villanueva
    Villanueva is a coastal municipality in the province of Misamis Oriental in the Philippines, known for its industrial facilities and growing local economy.
  • E. Villanueva chosen
    Villanueva is a municipality and town located in the Cortés Department of northwestern Honduras.
  • 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_69d87f2dac988190b74d6e185fa88ba4 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32d841f348190958a25f35034edff completed April 18, 2026, 7:06 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00581a11e881908681f68c26ee6a05 completed May 10, 2026, 10:04 a.m.
Created at: April 10, 2026, 5:10 a.m.