Triple

T23384890
Position Surface form Disambiguated ID Type / Status
Subject Vindafjord E593850 entity
Predicate borderWith P224 FINISHED
Object Etne 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: Etne | Statement: [Vindafjord, borderWith, Etne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Etne
Context triple: [Vindafjord, borderWith, Etne]
  • A. Etne chosen
    Etne is a rural municipality in Vestland county, western Norway, known for its fjords, mountains, and traditional farming and fishing communities.
  • B. Etnedal
    Etnedal is a rural municipality in Innlandet county, Norway, known for its forested valleys, agriculture, and outdoor recreation.
  • C. Ethnica
    Ethnica is an important ancient Greek geographical dictionary attributed to Stephanus of Byzantium, cataloging place names and ethnonyms from the classical world.
  • D. Rasis
    Rasis is the Latinized name of Al-Razi, a prominent Persian polymath and physician of the Islamic Golden Age known for his influential works in medicine and philosophy.
  • E. Eytukan
    Eytukan is the Omaticaya clan leader and a prominent Na'vi warrior in the film "Avatar."
  • 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_69e25d2754fc819085deea939bde60ab completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a497661c8190b52fa27419594989 completed April 29, 2026, 6:26 a.m.
Created at: April 17, 2026, 5:35 p.m.