Triple

T12915145
Position Surface form Disambiguated ID Type / Status
Subject Birkenes E308960 entity
Predicate hasRiver P165 FINISHED
Object Otra E576227 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: Otra | Statement: [Birkenes, hasRiver, Otra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Otra
Context triple: [Birkenes, hasRiver, Otra]
  • A. Otra chosen
    Otra is a major river in southern Norway that flows through the Agder region to the city of Kristiansand before emptying into the Skagerrak.
  • B. Ancora
    Ancora is a popular studio album by the multinational classical crossover vocal group Il Divo, showcasing their signature blend of operatic and pop styles.
  • C. The Other
    The Other is a 1972 psychological horror film, based on Thomas Tryon’s novel, that explores the eerie bond between twin brothers in a rural 1930s setting.
  • D. The Other
    The Other is a poem that explores themes of duality, identity, and the unsettling presence of an alternate self.
  • E. Tanto
    Tanto was a former town in Hyōgo Prefecture, Japan, that later became part of the expanded city of Toyooka through municipal merger.
  • 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_69d7bdf92b588190acdf2a2291ac4590 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d971a0d6508190bca9668e9e06abfe completed April 10, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a571a3e48190a32d362adc6eaee2 completed May 3, 2026, 1:31 a.m.
Created at: April 9, 2026, 5:41 p.m.