Triple

T20405122
Position Surface form Disambiguated ID Type / Status
Subject Kista E500446 entity
Predicate hasNearbyDistrict P4647 FINISHED
Object Helenelund 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: Helenelund | Statement: [Kista, hasNearbyDistrict, Helenelund]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Helenelund
Context triple: [Kista, hasNearbyDistrict, Helenelund]
  • A. Helenelund chosen
    Helenelund is a district and commuter rail station area in Sollentuna, north of central Stockholm, Sweden.
  • B. Knudshoved
    Knudshoved is a coastal area on the Danish island of Funen that serves as a key transport hub and former ferry terminal at the western end of the Great Belt crossing.
  • C. Dyrholm
    Dyrholm is a Danish surname most notably borne by acclaimed actress and singer Trine Dyrholm.
  • D. Renland
    Renland is a remote, largely glaciated peninsula in eastern Greenland known for its rugged mountains and extensive ice cap.
  • E. Tyvholm
    Tyvholm is one of the small Danish islands that form part of the Hirsholmene archipelago in the Kattegat.
  • 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_69e0b4a81bec8190b69adfdc1336a015 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6799161c48190825eca3027d1aa51 completed April 20, 2026, 7:08 p.m.
Created at: April 16, 2026, 11:29 a.m.