Triple

T22729477
Position Surface form Disambiguated ID Type / Status
Subject Botkyrka E562091 entity
Predicate containsSettlement P847 FINISHED
Object Tullinge NE NERFINISHED

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: Tullinge | Statement: [Botkyrka, containsSettlement, Tullinge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tullinge
Context triple: [Botkyrka, containsSettlement, Tullinge]
  • A. Tullinge chosen
    Tullinge is a suburban locality in the Stockholm region of Sweden, known for its residential areas, natural surroundings, and commuter connections to central Stockholm.
  • B. Tungelsta
    Tungelsta is a locality in Stockholm County, Sweden, known for its residential character and commuter connections within the Haninge area.
  • C. Tynningö
    Tynningö is an island in Sweden’s Stockholm archipelago, known for its summer homes, natural scenery, and proximity to the town of Vaxholm.
  • D. Thörnberg
    Thörnberg is a Swedish surname most notably associated with professional ice hockey player Martin Thörnberg.
  • E. Tantolunden
    Tantolunden is a large park and recreational area in Stockholm known for its allotment gardens, waterfront, and outdoor activities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24550859c81908727d91efc3a81b4 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1792be7d88190b6d7d79041fcba25 completed April 29, 2026, 3:21 a.m.
Created at: April 17, 2026, 3:21 p.m.