Triple

T13771987
Position Surface form Disambiguated ID Type / Status
Subject Swaledale E330902 entity
Predicate hasSettlement P1068 FINISHED
Object Keld E563647 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: Keld | Statement: [Swaledale, hasSettlement, Keld]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Keld
Context triple: [Swaledale, hasSettlement, Keld]
  • A. Keld chosen
    Keld is a small village in North Yorkshire, England, known for its scenic location in Upper Swaledale and nearby waterfalls on the River Swale.
  • B. Peberholm
    Peberholm is an artificial island in the Øresund Strait, created as part of the Øresund Bridge–Tunnel link between Denmark and Sweden and known for its role as both transport infrastructure and a protected nature reserve.
  • C. Stockheim
    Stockheim is a village and district of the town of Brackenheim in the Heilbronn district of Baden-Württemberg, Germany.
  • D. Kezlev
    Kezlev is the historical Crimean Tatar name for the city now known as Eupatoria, a coastal town on the western shore of Crimea.
  • E. Tyvholm
    Tyvholm is one of the small Danish islands that form part of the Hirsholmene archipelago in the Kattegat.
  • 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0235aea881909ab4c721db081b00 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a86907cc8190a6a6b475d08f0dc7 completed May 3, 2026, 7:56 p.m.
Created at: April 9, 2026, 10:10 p.m.