Triple

T8769883
Position Surface form Disambiguated ID Type / Status
Subject Mynämäki E208429 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object Laitila E203445 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: Laitila | Statement: [Mynämäki, hasNeighboringMunicipality, Laitila]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laitila
Context triple: [Mynämäki, hasNeighboringMunicipality, Laitila]
  • A. Laitila chosen
    Laitila is a small town and municipality in southwestern Finland known for its rural landscapes and local food and beverage industries.
  • B. Pietilä
    Pietilä is a Finnish surname borne by various notable individuals in fields such as art, architecture, and public life.
  • C. Kauriala
    Kauriala is an alternative name for the Ghaghara, a major Himalayan river that flows through Nepal and northern India before joining the Ganges.
  • D. Sastamala
    Sastamala is a town and municipality in southwestern Finland known for its historical churches, cultural heritage, and scenic lakeside landscapes.
  • E. Laakso
    Laakso is a residential district in Helsinki, Finland, known for its green areas and proximity to central neighborhoods like Meilahti.
  • 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_69ca835edb4481909b4aafb616dc5eb7 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5eedc7188190a67d959b9af53837 completed March 31, 2026, 11:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf88f4d35c81908de1fd713a5b2008 completed April 3, 2026, 9:31 a.m.
Created at: March 30, 2026, 6:41 p.m.