Triple

T20062016
Position Surface form Disambiguated ID Type / Status
Subject Halikko E499498 entity
Predicate administrativeCenter P1474 FINISHED
Object Halikko (village) 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: Halikko (village) | Statement: [Halikko, administrativeCenter, Halikko (village)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Halikko (village)
Context triple: [Halikko, administrativeCenter, Halikko (village)]
  • A. Halikko chosen
    Halikko was a former municipality in Southwest Finland that later became part of the city of Salo.
  • B. Sukeva village
    Sukeva village is a small settlement in Finland known primarily for housing the Sukevan vankila prison.
  • C. Markonahalli village
    Markonahalli village is a rural settlement in Karnataka, India, known primarily for its proximity to the historic Markonahalli Dam on the Shimsha River.
  • D. Myrskylä village
    Myrskylä village is a small rural settlement in eastern Uusimaa, Finland, serving as the administrative and service center of the surrounding Myrskylä municipality.
  • E. Haljala
    Haljala is a small town in northern Estonia that serves as a local hub for administration and services in the surrounding rural area.
  • 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_69da6276bcf48190aabbf279192a5fb4 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66376f2d4819081b9e1b265650e5b completed April 20, 2026, 5:33 p.m.
Created at: April 11, 2026, 3:39 p.m.