Triple

T22344209
Position Surface form Disambiguated ID Type / Status
Subject Tegucigalpa–Comayagüela E552349 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: [Tegucigalpa–Comayagüela, contains, Comayagüela]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Comayagüela
Context triple: [Tegucigalpa–Comayagüela, 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_69e11e494eec81909c4d2d51f69499d9 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15796b2288190b10e9402abf35fd3 completed April 29, 2026, 12:57 a.m.
Created at: April 16, 2026, 8:43 p.m.