Triple

T6048054
Position Surface form Disambiguated ID Type / Status
Subject Håbo Municipality E134716 entity
Predicate nativeName P15 FINISHED
Object Håbo kommun E134716 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: Håbo kommun | Statement: [Håbo Municipality, nativeName, Håbo kommun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Håbo kommun
Context triple: [Håbo Municipality, nativeName, Håbo kommun]
  • A. Håbo Municipality chosen
    Håbo Municipality is a local government area in Uppsala County, Sweden, known for including the town of Bålsta and lying near Lake Mälaren northwest of Stockholm.
  • B. Avesta Municipality
    Avesta Municipality is a local government area in Dalarna County, central Sweden, known for its industrial heritage and small-town character.
  • C. Hörby
    Hörby is a small municipality in southern Sweden’s Skåne County, known for its rural landscape and traditional Swedish town character.
  • D. Härryda Municipality
    Härryda Municipality is a local government area in western Sweden, east of Gothenburg, known for hosting Gothenburg Landvetter Airport, one of the country’s major international airports.
  • E. Nykvarn Municipality
    Nykvarn Municipality is a small municipality in Stockholm County, Sweden, known for its rural character, forests, and lakes west of Stockholm.
  • 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_69c00876a69881908088a2626d3b2666 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056f387cc8190920b846995761aec completed March 22, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c113a2b65c8190a1891e790cb9a5de completed March 23, 2026, 10:19 a.m.
Created at: March 22, 2026, 4:09 p.m.