Triple

T5849634
Position Surface form Disambiguated ID Type / Status
Subject Halland E129995 entity
Predicate hasCountyCounterpart P16514 FINISHED
Object Halland County E340055 NE FINISHED

How this triple was built (3 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: Halland County | Statement: [Halland, hasCountyCounterpart, Halland County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Halland County
Context triple: [Halland, hasCountyCounterpart, Halland County]
  • A. Halland County chosen
    Halland County is a coastal county in southwestern Sweden known for its beaches along the Kattegat, agriculture, and proximity to the city of Gothenburg.
  • B. Kalmar County
    Kalmar County is an administrative region in southeastern Sweden that includes parts of the mainland and the island of Öland, known for its coastal landscapes and historical sites.
  • C. Viken county
    Viken county is an administrative region in southeastern Norway that includes several municipalities and borders Sweden and the Oslofjord.
  • D. Rice County
    Rice County is a county in southeastern Minnesota known for its mix of agricultural communities and college towns, including the city of Northfield.
  • E. Linn County
    Linn County is a county in western Oregon known for its timber industry, agriculture, and location in the Willamette Valley.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCountyCounterpart
Context triple: [Halland, hasCountyCounterpart, Halland County]
  • A. hasSubnationalCounterpart chosen
    Indicates that an entity has a corresponding or equivalent entity at a lower (subnational) administrative level.
  • B. hasCountyCode
    Indicates that an entity is associated with a specific county identified by a standardized county code.
  • C. isCountyOfStateCapital
    Indicates that a county is the one in which a given state capital city is located.
  • D. hasNumberOfCounties
    Indicates the relationship that specifies how many counties are associated with or contained within a given entity.
  • E. hasCountySeatRelation
    Indicates that a specific place serves as the county seat (administrative center) of a particular county.
  • F. None of above.

Provenance (4 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_69c0084de39081909eb34e6bed74215a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03c9239e08190bff7ef2bd6d21ae0 completed March 22, 2026, 7:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c124f45d8c8190a757c82abd85c514 completed March 23, 2026, 11:33 a.m.
PD Predicate disambiguation batch_69c0334412388190bc594794ec5754f9 completed March 22, 2026, 6:21 p.m.
Created at: March 22, 2026, 3:55 p.m.