Triple

T2212532
Position Surface form Disambiguated ID Type / Status
Subject Simo Häyhä E50949 entity
Predicate birthPlace P1 FINISHED
Object Rautjärvi E238056 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: Rautjärvi | Statement: [Simo Häyhä, birthPlace, Rautjärvi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rautjärvi
Context triple: [Simo Häyhä, birthPlace, Rautjärvi]
  • A. Tarvasjoki
    Tarvasjoki is a small former municipality in southwestern Finland known for its rural landscape and proximity to the city of Turku.
  • B. Luumäki chosen
    Luumäki is a rural municipality in South Karelia, southeastern Finland, known for its forests, lakes, and historical significance.
  • C. Suonenjoki
    Suonenjoki is a small town and municipality in the Northern Savonia region of Finland, known for its rural landscapes and berry cultivation.
  • D. Vihti
    Vihti is a municipality in southern Finland located within the Uusimaa region, known for its lakes, rural landscapes, and proximity to the Helsinki metropolitan area.
  • E. Kemijoki
    Kemijoki is the longest river in Finland, flowing through Lapland to the Gulf of Bothnia and serving as a major source of hydroelectric power.
  • 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_69a88b06709c8190978fb2418470d1b6 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abbfecea6c8190b762bbfda8490e31 completed March 7, 2026, 6:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae655245c48190a37f4b6344a9a3dc completed March 9, 2026, 6:14 a.m.
Created at: March 4, 2026, 7:46 p.m.