Triple

T12846973
Position Surface form Disambiguated ID Type / Status
Subject Loviisa E307202 entity
Predicate hasNeighbouringMunicipality P224 FINISHED
Object Pyhtää E682678 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: Pyhtää | Statement: [Loviisa, hasNeighbouringMunicipality, Pyhtää]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pyhtää
Context triple: [Loviisa, hasNeighbouringMunicipality, Pyhtää]
  • A. Pyhtää chosen
    Pyhtää is a small coastal municipality in southeastern Finland known for its Baltic Sea shoreline and rural landscapes.
  • B. Pyhäranta
    Pyhäranta is a small coastal municipality in western Finland known for its rural landscapes and proximity to the Baltic Sea.
  • C. Pertteli
    Pertteli was a former municipality in southwestern Finland that is now part of the city of Salo.
  • D. Ahti
    Ahti is a Finnish masculine given name, historically associated with figures in Finnish mythology and borne by various notable Finns.
  • E. Pöytyä
    Pöytyä is a rural municipality in southwestern Finland known for its forests, agriculture, and small village communities.
  • 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_69d7bdf5e7cc8190be357278bc5ba3bb completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96ff49efc8190bd6bbac510cc4705 completed April 10, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69ba1ef2481909bcf68a698afd3c6 completed May 3, 2026, 12:49 a.m.
Created at: April 9, 2026, 5:36 p.m.