Triple

T16262702
Position Surface form Disambiguated ID Type / Status
Subject Nesodden E394792 entity
Predicate hasSettlement P1068 FINISHED
Object Berger E875292 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: Berger | Statement: [Nesodden, hasSettlement, Berger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berger
Context triple: [Nesodden, hasSettlement, Berger]
  • A. Berger
    Berger is a common German-origin surname borne by numerous notable individuals across politics, arts, sports, and academia.
  • B. Berger chosen
    Berger is a small settlement located within the municipality of Nesodden in Norway.
  • C. Chanteau
    Chanteau is a fictional French family name most notably associated with characters in Émile Zola’s novel "La Joie de vivre."
  • D. Barbos
    Barbos is a giant, spiked pufferfish boss from the Donkey Kong series, appearing as an underwater enemy in Donkey Kong Country 3: Dixie Kong's Double Trouble!.
  • E. Spitz
    Spitz is the fierce and ruthless lead sled dog who serves as Buck’s primary canine antagonist in Jack London’s novel "The Call of the Wild."
  • 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e245c5583c8190901e892238cf8dbd completed April 17, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017b5f3a8819083128cf2b90cfd84 completed May 10, 2026, 5:29 a.m.
Created at: April 10, 2026, 5:04 a.m.