Triple

T22729475
Position Surface form Disambiguated ID Type / Status
Subject Botkyrka E562091 entity
Predicate containsSettlement P847 FINISHED
Object Hallunda 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: Hallunda | Statement: [Botkyrka, containsSettlement, Hallunda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hallunda
Context triple: [Botkyrka, containsSettlement, Hallunda]
  • A. Hallunda chosen
    Hallunda is a residential suburban district in the southern Stockholm region of Sweden, known for its multicultural population and location within Botkyrka Municipality.
  • B. Hallaar
    Hallaar is a village in the Belgian province of Antwerp that forms part of the municipality of Heist-op-den-Berg.
  • C. Hallin
    Hallin is a small settlement on the Isle of Skye in Scotland, situated in a historically rich area that includes the ancient Dun Hallin broch.
  • D. Halla
    Halla is a poem included in the Finnish poet Eino Leino’s influential collection "Helkavirsiä," known for its lyrical and mythic themes.
  • E. Halla
    Halla is the whimsical, imaginary kingdom featured in Satyajit Ray’s Bengali children’s film and story "Goopy Gyne Bagha Byne."
  • 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.