Triple

T2877739
Position Surface form Disambiguated ID Type / Status
Subject Lübeck E56916 entity
Predicate twinCity P1072 FINISHED
Object Kotka E285670 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: Kotka | Statement: [Lübeck, twinCity, Kotka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kotka
Context triple: [Lübeck, twinCity, Kotka]
  • A. Kotka chosen
    Kotka is a coastal city in southeastern Finland on the Gulf of Finland, known as an important port and maritime center.
  • B. Pori
    Pori is a coastal city in western Finland known for its industrial heritage, port, and annual Pori Jazz Festival.
  • C. Vaasa
    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.
  • D. Pirkkala
    Pirkkala is a municipality in the Pirkanmaa region of southern Finland, located near the city of Tampere and known for its growing residential areas and proximity to Tampere-Pirkkala Airport.
  • 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_69ab4a4ced288190ab6d3e062d10f7f6 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abe007329c8190b0bc1851c7307124 completed March 7, 2026, 8:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69b53fc6f4b48190aebcf7457b6d670d completed March 14, 2026, 11 a.m.
Created at: March 6, 2026, 10:03 p.m.