Triple

T15877632
Position Surface form Disambiguated ID Type / Status
Subject Biobío metropolitan area E384990 entity
Predicate hasPart P35 FINISHED
Object Santa Juana E515835 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: Santa Juana | Statement: [Biobío metropolitan area, hasPart, Santa Juana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santa Juana
Context triple: [Biobío metropolitan area, hasPart, Santa Juana]
  • A. Santa Juana chosen
    Santa Juana is a rural Chilean commune in the Biobío Region, known for its agricultural activities and location within the Gran Concepción metropolitan area.
  • B. Sanjuanito
    Sanjuanito is a traditional, upbeat Indigenous Ecuadorian musical and dance style from the Andes, typically featuring panpipes, charangos, and rhythmic percussion.
  • C. Moreno
    Moreno is a common Spanish surname borne by numerous notable individuals across politics, sports, arts, and business in the Spanish-speaking world and beyond.
  • D. Moreno
    Moreno is a municipality in the state of Pernambuco, Brazil, situated in the metropolitan region near the city of Jaboatão dos Guararapes.
  • E. Palo Cedro
    Palo Cedro is a small unincorporated community in Northern California known for its rural character and proximity to the city of Redding.
  • 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_69d86da4e86481909f1325fdc971b5ec completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e155fec9d4819081efea504e1e3952 completed April 16, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa950a890819092bc1e8895034593 completed May 9, 2026, 9:38 p.m.
Created at: April 10, 2026, 4:51 a.m.