Triple

T9639804
Position Surface form Disambiguated ID Type / Status
Subject Rusko E233032 entity
Predicate hasNeighbor P5707 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: [Rusko, hasNeighbor, Nousiainen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nousiainen
Context triple: [Rusko, hasNeighbor, 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. Soukainen
    Soukainen is a small village in the municipality of Laitila in southwestern Finland.
  • C. Siikainen
    Siikainen is a small rural municipality in western Finland known for its forests, lakes, and location within the Satakunta region.
  • D. Nanneella
    Nanneella is a small rural town in northern Victoria, Australia, situated within the Shire of Campaspe and known for its agricultural surroundings.
  • E. Neuvillois
    Neuvillois is the French demonym for inhabitants of the commune of Neuville-sur-Vannes in the Aube department of north-central France.
  • 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_69ca848a5a908190aad251f4137b0c3a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b532aa4819087b56be6f5635126 completed April 1, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18248ffe4819095d4ea20951eca01 completed April 4, 2026, 9:27 p.m.
Created at: March 30, 2026, 8:12 p.m.