Triple

T15877628
Position Surface form Disambiguated ID Type / Status
Subject Biobío metropolitan area E384990 entity
Predicate hasPart P35 FINISHED
Object Coronel E62714 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: Coronel | Statement: [Biobío metropolitan area, hasPart, Coronel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coronel
Context triple: [Biobío metropolitan area, hasPart, Coronel]
  • A. Coronel chosen
    Coronel is a coastal city in south-central Chile known for its historic coal-mining industry and fishing activities along the Pacific Ocean.
  • B. Almirante
    Almirante is a coastal town in Panama known as a key port and transport hub in the Bocas del Toro region.
  • C. Le Capitan
    Le Capitan is a 1960 French swashbuckling adventure film, based on a novel by Michel Zévaco, in which Jean Marais stars as a valiant swordsman in 17th-century France.
  • D. Capitaine Villanueva
    Capitaine Villanueva is a pirate lord of the Brethren Court in the Pirates of the Caribbean universe.
  • E. Cruz Alta
    Cruz Alta is a prominent hilltop viewpoint in the Sintra region of Portugal, known for its panoramic vistas over the surrounding mountains and coastline.
  • 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.