Triple

T21658670
Position Surface form Disambiguated ID Type / Status
Subject Distrito Central E534535 entity
Predicate contains P35 FINISHED
Object Comayagüela NE NERFINISHED

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: Comayagüela | Statement: [Distrito Central, contains, Comayagüela]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Comayagüela
Context triple: [Distrito Central, contains, Comayagüela]
  • A. Comayagüela chosen
    Comayagüela is a major urban district of Honduras that, together with Tegucigalpa, forms the country’s capital area.
  • B. Cayastá
    Cayastá is a small town in Argentina’s Santa Fe Province known for its proximity to the historic Santa Fe La Vieja archaeological site, which preserves the remains of one of the region’s earliest Spanish settlements.
  • C. Camajuaní
    Camajuaní is a municipality in central Cuba known for its agricultural economy and location within Villa Clara Province.
  • D. Pacasmayo
    Pacasmayo is a coastal city in northern Peru known for its long pier, surfing beaches, and colonial-era architecture.
  • E. Guazapares
    Guazapares is a small town in the state of Chihuahua, Mexico, known for serving as the administrative center of the surrounding rural municipality in the Sierra Madre Occidental region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c467e1f48190af2650b19175abc4 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef6c05a8d881909f747635bdb4ef09 completed April 27, 2026, 2 p.m.
Created at: April 16, 2026, 6:36 p.m.