Triple

T11103656
Position Surface form Disambiguated ID Type / Status
Subject Municipality of Illapel E262572 entity
Predicate locatedIn P40 FINISHED
Object Illapel E47625 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: Illapel | Statement: [Municipality of Illapel, locatedIn, Illapel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Illapel
Context triple: [Municipality of Illapel, locatedIn, Illapel]
  • A. Illapel chosen
    Illapel is a city in Chile's Coquimbo Region known as an administrative and commercial center in the Choapa Valley.
  • B. Tagüeña
    Tagüeña is a Spanish surname most notably associated with Manuel Tagüeña, a Republican military officer and physicist active during the Spanish Civil War.
  • C. Comayagüela
    Comayagüela is a major urban district of Honduras that, together with Tegucigalpa, forms the country’s capital area.
  • D. Alto de las Piedras
    Alto de las Piedras is an archaeological site in Colombia known for its pre-Columbian stone statues and tombs associated with the ancient San Agustín culture.
  • E. Itunyoso
    Itunyoso is a region associated with the Trique people, an indigenous group of Oaxaca, Mexico, known for their distinct language and cultural traditions.
  • 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79a2d33948190ac29d174694a78e5 completed April 9, 2026, 12:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3e7ff368c8190ab01b7538ad83826 completed April 18, 2026, 8:22 p.m.
Created at: April 8, 2026, 9:27 p.m.