Triple

T10707018
Position Surface form Disambiguated ID Type / Status
Subject Pori E252433 entity
Predicate hasNeighbouringMunicipality P224 FINISHED
Object Lavia E553710 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: Lavia | Statement: [Pori, hasNeighbouringMunicipality, Lavia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lavia
Context triple: [Pori, hasNeighbouringMunicipality, Lavia]
  • A. Lavia chosen
    Lavia is a small municipality in southwestern Finland known for its rural landscapes and proximity to the town of Sastamala.
  • B. Laleia
    Laleia is a town in northern Timor-Leste known as the birthplace of independence leader and former president Xanana Gusmão.
  • C. Vayavi
    Vayavi is a lesser-known figure in Hindu mythology identified as the consort of the wind god Vayu.
  • D. Tairua
    Tairua is a small coastal town and popular holiday destination on New Zealand’s Coromandel Peninsula, known for its beaches, fishing, and scenic views of nearby offshore islands.
  • E. Vella
    Vella is a village and former municipality in the canton of Graubünden in eastern Switzerland, known for its traditional alpine setting and proximity to the Surselva region.
  • 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_69d6aa5cbabc8190973e683950d89faf completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fddfbed48190810bb3faee473fde completed April 9, 2026, 1:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d9990760b48190a05753974cdf556c completed April 11, 2026, 12:42 a.m.
Created at: April 8, 2026, 9:12 p.m.