Triple

T3522188
Position Surface form Disambiguated ID Type / Status
Subject Kven people E74447 entity
Predicate ethnonym P4709 FINISHED
Object Kven E74948 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: Kven | Statement: [Kven people, ethnonym, Kven]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kven
Context triple: [Kven people, ethnonym, Kven]
  • A. Kven chosen
    Kven is a Finnic minority language closely related to Finnish, traditionally spoken by the Kven people in northern Norway.
  • B. Kwan
    Kwan is a Chinese-origin surname shared by many individuals, including the renowned American figure skater Michelle Kwan.
  • C. Wem
    Wem is a small market town and civil parish in the county of Shropshire, England.
  • D. QUEN
    QUEN is the station code for Queen station, a public transit stop identified by this unique abbreviation.
  • E. Hven
    Hven is a small Danish island in the Øresund Strait, historically renowned as the site of astronomer Tycho Brahe’s pioneering observatories and research center.
  • 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_69ad85d0c5488190a3d8e02ebd01a1aa completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc4dd6d48190a5a3f4b86c82b86c completed March 8, 2026, 6:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e87c7948190901d98f34e3987eb completed March 13, 2026, 3:03 a.m.
Created at: March 8, 2026, 3:19 p.m.