Triple

T9064243
Position Surface form Disambiguated ID Type / Status
Subject Egentliga Finland E217202 entity
Predicate containsMunicipality P852 FINISHED
Object Oripää E212939 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: Oripää | Statement: [Egentliga Finland, containsMunicipality, Oripää]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oripää
Context triple: [Egentliga Finland, containsMunicipality, Oripää]
  • A. Oripää chosen
    Oripää is a small rural municipality in southwestern Finland known for its agricultural landscape and proximity to the town of Loimaa.
  • B. Pöytyä
    Pöytyä is a rural municipality in southwestern Finland known for its forests, agriculture, and small village communities.
  • C. Sipaulovi
    Sipaulovi is a Hopi village located on Second Mesa in northeastern Arizona, known for its traditional culture and historic significance.
  • D. Raisio
    Raisio is a town and municipality in southwestern Finland known for its industrial base and as the headquarters of the food company Raisio Group.
  • E. Kauhava
    Kauhava is a town in western Finland known historically for its aviation activities and air base, as well as its traditional knife-making heritage.
  • 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_69ca83d5a7f48190b16c1e59bd43ede0 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc94bb26588190b7d6f2d70819e86f completed April 1, 2026, 3:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69d01798a79081909885a8e61bf04dc3 completed April 3, 2026, 7:40 p.m.
Created at: March 30, 2026, 7:11 p.m.