Triple

T2628571
Position Surface form Disambiguated ID Type / Status
Subject Kauhava Air Base E59178 entity
Predicate hasNearbyCity P350 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: [Kauhava Air Base, hasNearbyCity, Vaasa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vaasa
Context triple: [Kauhava Air Base, hasNearbyCity, 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. Kokkola
    Kokkola is a coastal city in western Finland known for its maritime heritage and role as a military and naval hub.
  • 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_69ab4ac558388190962492cd2e1b0ce6 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd8c2e3d88190a972f58356f282cc completed March 7, 2026, 7:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69b402a702a081909319ba32990fa010 completed March 13, 2026, 12:27 p.m.
Created at: March 6, 2026, 9:50 p.m.