Triple

T14001999
Position Surface form Disambiguated ID Type / Status
Subject Boknafjorden E336848 entity
Predicate hasIsland P970 FINISHED
Object Bokn E577059 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: Bokn | Statement: [Boknafjorden, hasIsland, Bokn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bokn
Context triple: [Boknafjorden, hasIsland, Bokn]
  • A. Bokn chosen
    Bokn is a small island municipality in southwestern Norway known for its coastal landscape and location in Rogaland county.
  • B. Boknal
    Boknal refers to the three hottest days of summer in South Korea, traditionally marked by eating stamina-boosting foods like samgyetang to combat the heat.
  • C. Bok
    Bok is one of the dialects of the Sabaot language spoken by the Sabaot people of East Africa.
  • D. Bok
    Bok is the surname of Mary Louise Curtis Bok, an American philanthropist and founder of the Curtis Institute of Music.
  • E. Bokar
    Bokar is a subgroup of the Adi people, an indigenous community of Arunachal Pradesh in Northeast India known for its distinct language and cultural traditions.
  • 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_69d81c645c5c8190b1fd16a285a1b78a completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2ed06a50819093ddc64f55050689 completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbaca180988190bbfc93bd708688d6 completed May 6, 2026, 9:03 p.m.
Created at: April 9, 2026, 10:19 p.m.