Triple

T1830075
Position Surface form Disambiguated ID Type / Status
Subject Masku E40741 entity
Predicate neighboringMunicipality P17964 FINISHED
Object Nousiainen E210755 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: Nousiainen | Statement: [Masku, neighboringMunicipality, Nousiainen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nousiainen
Context triple: [Masku, neighboringMunicipality, Nousiainen]
  • A. Nousiainen chosen
    Nousiainen is a small municipality in southwestern Finland known for its rural landscapes and historical significance as one of the country’s early ecclesiastical centers.
  • B. 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.
  • C. Nelonen
    Nelonen is a prominent Finnish commercial television channel known for broadcasting a wide range of entertainment, drama, reality shows, and sports programming.
  • D. Parainen
    Parainen is a coastal town and municipality in southwestern Finland known for its archipelago landscape and maritime heritage.
  • E. Noyyal
    Noyyal is a river in the Indian state of Tamil Nadu, known for flowing through the Coimbatore region and contributing to the Kaveri river system.
  • 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_69a8864644bc8190b2358ab897194ac1 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb0144cc08190abd1a6cf44e64daf completed March 7, 2026, 4:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69adead6888081909f89704f0c070d68 completed March 8, 2026, 9:32 p.m.
Created at: March 4, 2026, 7:32 p.m.