Triple

T13245862
Position Surface form Disambiguated ID Type / Status
Subject Western Finland E315400 entity
Predicate includesCity P3207 FINISHED
Object Vaasa E194520 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: Vaasa | Statement: [Western Finland, includesCity, Vaasa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vaasa
Context triple: [Western Finland, includesCity, Vaasa]
  • A. Vaasa chosen
    Vaasa is a coastal city in western Finland known for its maritime heritage, bilingual Finnish-Swedish culture, and role as a regional economic and educational center.
  • B. Pori
    Pori is a coastal city in western Finland known for its industrial heritage, port, and annual Pori Jazz Festival.
  • C. Ruovesi
    Ruovesi is a municipality in the Pirkanmaa region of Finland, known for its lakeside landscapes that have inspired Finnish artists and writers.
  • D. Viipuri
    Viipuri is the Finnish name for Vyborg, a historically significant city and former Finnish cultural center now located in Russia near the Finnish border.
  • E. Kajaani
    Kajaani is a small city in central Finland known for its historic castle ruins and role as a regional cultural and economic center in the Kainuu region.
  • 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_69d806b1072881909e46bd212259c5f0 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d5c09f88190bb1566a6d8c073a6 completed April 10, 2026, 11:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0180bd1e5c8190a6a96581ce8a37de completed May 11, 2026, 7:09 a.m.
Created at: April 9, 2026, 9:23 p.m.