Triple

T8855889
Position Surface form Disambiguated ID Type / Status
Subject Kaarina E210754 entity
Predicate hasNeighbour P5707 FINISHED
Object Sauvo E203446 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: Sauvo | Statement: [Kaarina, hasNeighbour, Sauvo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sauvo
Context triple: [Kaarina, hasNeighbour, Sauvo]
  • A. Sauvo chosen
    Sauvo is a small rural municipality in southwestern Finland known for its scenic countryside, agriculture, and historic churches.
  • B. Sowa
    Sowa is an Oceanic language spoken in Vanuatu, closely related to and geographically near the Apma language.
  • C. Guisa
    Guisa is a municipality and town located in Cuba’s eastern Granma Province, known for its rural character and historical significance in the Cuban Revolution.
  • D. Oton
    Oton is a coastal municipality in the Philippine province of Iloilo known for its historical heritage and proximity to Iloilo City.
  • E. Soukainen
    Soukainen is a small village in the municipality of Laitila in southwestern Finland.
  • 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_69ca838a424c8190b1ecac115c2927e7 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60c7f51881909c847989f31f203a completed April 1, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa09e6d388190ba8f5d8516b43bc4 completed April 3, 2026, 11:12 a.m.
Created at: March 30, 2026, 6:50 p.m.