Triple

T14126074
Position Surface form Disambiguated ID Type / Status
Subject Närke E340035 entity
Predicate traditionalCountySeat P383 FINISHED
Object Örebro E370085 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: Örebro | Statement: [Närke, traditionalCountySeat, Örebro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Örebro
Context triple: [Närke, traditionalCountySeat, Örebro]
  • A. Örebro chosen
    Örebro is a historic city in central Sweden known for its medieval castle, university, and role as a regional economic and cultural hub.
  • B. Norrköping
    Norrköping is a historic industrial city in eastern Sweden known for its preserved textile mills, waterways, and cultural institutions.
  • C. Sundsvall
    Sundsvall is a coastal city in central Sweden known as an important industrial and commercial center on the Gulf of Bothnia.
  • D. Nyköping
    Nyköping is a historic coastal town in southeastern Sweden known for its medieval castle, harbor, and role as a regional administrative and cultural center.
  • E. Skövde
    Skövde is a town in south-central Sweden that serves as a major military hub and training center for the Swedish Army.
  • 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: traditionalCountySeat
Context triple: [Närke, traditionalCountySeat, Örebro]
  • A. nearestCountySeat
    Indicates that one location is the closest county seat geographically to another location.
  • B. countySeat chosen
    Indicates that one place serves as the administrative center or capital of a county.
  • C. containsCountySeat
    Indicates that one administrative region or area includes within its boundaries the designated county seat location of a county.
  • D. hasCountySeatCounty
    Indicates that a county seat is administratively associated with and serves as the seat of government for a specific county.
  • E. hasCountySeatWithRole
    Indicates that a county has a designated county seat that fulfills a specific administrative or governmental role.
  • 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de6096976481909dc79066c5165a50 completed April 14, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69feef5c11708190a7fd4c0682b6ed81 completed May 9, 2026, 8:25 a.m.
PD Predicate disambiguation batch_69de05b5e7a08190a16be9ad8b92b80c completed April 14, 2026, 9:15 a.m.
Created at: April 9, 2026, 10:22 p.m.