Triple

T1241471
Position Surface form Disambiguated ID Type / Status
Subject Biobío River E26665 entity
Predicate hasCityOnBank P7935 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 River, hasCityOnBank, Coronel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coronel
Context triple: [Biobío River, hasCityOnBank, 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. Captain Vidal
    Captain Vidal is the ruthless and authoritarian Falangist officer who serves as the primary antagonist in Guillermo del Toro’s dark fantasy film "Pan’s Labyrinth."
  • C. Mr. Commodore
    Mr. Commodore is the costumed naval-themed mascot representing Vanderbilt University's athletic teams, the Commodores.
  • D. Banastre
    Banastre is a given name most notably borne by Banastre Tarleton, a British cavalry officer and politician active during the American Revolutionary War.
  • E. Fletcher
    Fletcher is a surname of English origin borne by numerous notable individuals across fields such as the military, politics, arts, and sports.
  • 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_69a4948689d08190b3a4a3f388c02148 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bf44ac3c8190a28a333b320305fd completed March 1, 2026, 10:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac8f79afe08190802dd615f01e303d completed March 7, 2026, 8:50 p.m.
Created at: March 1, 2026, 7:47 p.m.