Triple

T20250352
Position Surface form Disambiguated ID Type / Status
Subject Skiensvassdraget E498534 entity
Predicate hasPart P35 FINISHED
Object Bandak 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: Bandak | Statement: [Skiensvassdraget, hasPart, Bandak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bandak
Context triple: [Skiensvassdraget, hasPart, Bandak]
  • A. Bandak chosen
    Bandak is a large lake in Telemark county, Norway, known for its scenic fjord-like landscape and role in the Telemark Canal waterway.
  • B. Banda
    Banda is a city in the Bundelkhand region of Uttar Pradesh, India, known for its historical significance and proximity to the Ken River.
  • C. Banda
    Banda is a town in the Sagar district of the central Indian state of Madhya Pradesh.
  • D. Banda Besar
    Banda Besar is one of the main volcanic islands in Indonesia’s Banda Sea, known historically as part of the nutmeg-producing Banda Islands.
  • E. Bandiana
    Bandiana is a suburb in the Australian state of Victoria, known primarily for its military facilities and proximity to the regional city of Wodonga.
  • 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_69da6274c58c81909c646eabed6f4f30 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e673a79a208190a5a7c0f6515bc393 completed April 20, 2026, 6:42 p.m.
Created at: April 11, 2026, 11:41 p.m.