Triple

T10174114
Position Surface form Disambiguated ID Type / Status
Subject Kristinestad E235805 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object Teuva
Teuva is a small rural municipality in western Finland known for its agricultural landscape and traditional Finnish countryside culture.
 E844832 NE FINISHED

How this triple was built (4 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: Teuva | Statement: [Kristinestad, hasNeighboringMunicipality, Teuva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Teuva
Context triple: [Kristinestad, hasNeighboringMunicipality, Teuva]
  • A. Teves
    Teves is an alternative Ashkenazi transliteration of the Hebrew month name Tevet, used in the Jewish calendar.
  • B. Tengbom
    Tengbom is a prominent Swedish architectural firm known for its influential role in shaping modern Scandinavian architecture.
  • C. Arestrup
    Arestrup is a Danish-origin surname most notably borne by acclaimed French actor and screenwriter Niels Arestrup.
  • D. Nister
    The Nister is a river in western Germany, known as a scenic tributary of the Sieg that flows through the Westerwald region.
  • E. Wieck
    Wieck is a German surname most notably associated with Friedrich Wieck, the influential 19th-century piano teacher and father of composer Clara Schumann.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Teuva
Triple: [Kristinestad, hasNeighboringMunicipality, Teuva]
Generated description
Teuva is a small rural municipality in western Finland known for its agricultural landscape and traditional Finnish countryside culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Teuva
Target entity description: Teuva is a small rural municipality in western Finland known for its agricultural landscape and traditional Finnish countryside culture.
  • A. Teves
    Teves is an alternative Ashkenazi transliteration of the Hebrew month name Tevet, used in the Jewish calendar.
  • B. Tengbom
    Tengbom is a prominent Swedish architectural firm known for its influential role in shaping modern Scandinavian architecture.
  • C. Arestrup
    Arestrup is a Danish-origin surname most notably borne by acclaimed French actor and screenwriter Niels Arestrup.
  • D. Nister
    The Nister is a river in western Germany, known as a scenic tributary of the Sieg that flows through the Westerwald region.
  • E. Wieck
    Wieck is a German surname most notably associated with Friedrich Wieck, the influential 19th-century piano teacher and father of composer Clara Schumann.
  • F. None of above. chosen

Provenance (5 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_69ca84d1d5f88190ab878a1021ecff68 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdeca0dc508190916f2a1bbb288192 completed April 2, 2026, 4:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d3010c386481908bc0c985c0b5ff93 completed April 6, 2026, 12:40 a.m.
NEDg Description generation batch_69d30256ee40819098569b37eb27d3d1 completed April 6, 2026, 12:46 a.m.
NED2 Entity disambiguation (via description) batch_69d302d248e08190b6b7bae9343b6f9a completed April 6, 2026, 12:48 a.m.
Created at: March 30, 2026, 9:11 p.m.