Triple

T10485223
Position Surface form Disambiguated ID Type / Status
Subject Priozersk E247277 entity
Predicate formerName P65 FINISHED
Object Kexholm E795840 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: Kexholm | Statement: [Priozersk, formerName, Kexholm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kexholm
Context triple: [Priozersk, formerName, Kexholm]
  • A. Kexholm chosen
    Kexholm was a historic fortress town and surrounding region in the Karelian Isthmus, strategically contested between Sweden and Russia in the early modern period.
  • B. Kilkee
    Kilkee is a small coastal resort town on Ireland’s west coast, known for its scenic bay, beaches, and popularity as a holiday destination.
  • C. Kullö
    Kullö is an island in the Stockholm archipelago of Sweden, situated within Vaxholm Municipality and known for its coastal scenery and residential character.
  • D. Rehnskiöld
    Rehnskiöld is a Swedish noble family name most notably borne by Carl Gustav Rehnskiöld, a prominent general of the Swedish Empire during the Great Northern War.
  • E. Kangasala
    Kangasala is a Finnish town and municipality in the Pirkanmaa region, known for its scenic ridge landscapes and lakes.
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50968a0bc8190a18ba24eb37431d9 completed April 7, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8a03c647c81909521fee4a66ec8ac completed April 10, 2026, 7:01 a.m.
Created at: April 6, 2026, 12:23 p.m.