Triple

T6792437
Position Surface form Disambiguated ID Type / Status
Subject Bahía Inglesa E155966 entity
Predicate near P350 FINISHED
Object Caldera E62713 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: Caldera | Statement: [Bahía Inglesa, near, Caldera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caldera
Context triple: [Bahía Inglesa, near, Caldera]
  • A. Caldera chosen
    Caldera is a coastal Chilean port city known for its beaches, fishing industry, and role as a gateway to the Atacama Desert.
  • B. Aira Caldera
    Aira Caldera is a large, active volcanic caldera in southern Kyushu, Japan, known for its dramatic geology and frequent eruptions.
  • C. Akan Caldera
    Akan Caldera is a large volcanic caldera in eastern Hokkaido, Japan, known for its scenic crater lakes, geothermal features, and active volcanic landscape.
  • D. Silverthrone Caldera
    Silverthrone Caldera is a large, remote volcanic caldera and ice-covered massif in the Coast Mountains of British Columbia, Canada, known for its extensive glaciation and rugged terrain.
  • E. Toya caldera
    Toya caldera is a large volcanic caldera in Hokkaido, Japan, known for its scenic lake, hot springs, and frequent volcanic activity.
  • 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_69c6881770fc8190972b2906390380f5 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2ae4d1c819089ac6b3abf11a341 completed March 27, 2026, 6:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71a8eaefc819098e848b3012da749 completed March 28, 2026, 12:02 a.m.
Created at: March 27, 2026, 2:15 p.m.