Triple

T18243936
Position Surface form Disambiguated ID Type / Status
Subject Dora Baltea river valley (upper section) E436895 entity
Predicate river P165 FINISHED
Object Dora Baltea NE NERFINISHED

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: Dora Baltea | Statement: [Dora Baltea river valley (upper section), river, Dora Baltea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dora Baltea
Context triple: [Dora Baltea river valley (upper section), river, Dora Baltea]
  • A. Dora Baltea chosen
    Dora Baltea is a major river in northwestern Italy that flows from the Alps through the Aosta Valley and Piedmont before joining the Po River.
  • B. Dora Luz
    Dora Luz was a Mexican singer and actress best known for her musical performances in classic Disney films of the 1940s.
  • C. Bela
    Bela is a supporting character in the 1941 horror film "The Wolf Man," portrayed as a tormented Romani werewolf whose curse sets the story’s tragic events in motion.
  • D. Bela
    Bela is a historic town in Pakistan’s Balochistan province, known as an administrative and commercial center within the Lasbela region.
  • E. Bela
    Bela is a central character in Anita Desai’s novel "The Village by the Sea," depicted as one of the struggling children in a poor Indian coastal village.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b91104e08190a8241f7d260a5162 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4f7e5d63081908d0e6249578867a1 completed April 19, 2026, 3:42 p.m.
Created at: April 10, 2026, 10:33 a.m.