Triple

T22402234
Position Surface form Disambiguated ID Type / Status
Subject Muhu E553788 entity
Predicate hasVillage P4011 FINISHED
Object Linnuse 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: Linnuse | Statement: [Muhu, hasVillage, Linnuse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Linnuse
Context triple: [Muhu, hasVillage, Linnuse]
  • A. Linnuse chosen
    Linnuse is a small village located on Muhu Island in western Estonia, known for its rural setting and traditional island culture.
  • B. Lisnaskea
    Lisnaskea is a small market town in County Fermanagh, Northern Ireland, known for serving as a local commercial and community hub for the surrounding rural area.
  • C. Sriluur
    Sriluur is a harsh, desert-like Outer Rim planet in the Star Wars universe, known primarily as the homeworld of the Weequay species.
  • D. Ristna
    Ristna is a small settlement in Estonia located on the island of Hiiumaa, known for its coastal scenery and proximity to the historic Ristna Lighthouse.
  • E. Trysilelva
    Trysilelva is a major river in eastern Norway that flows southward through the Trysil region and continues into Sweden as part of the Klarälven–Göta älv watercourse.
  • 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_69e11e4da7048190b4387d422a9a0de5 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f158b4a96c8190838f5dda21c4d853 completed April 29, 2026, 1:02 a.m.
Created at: April 16, 2026, 8:46 p.m.