Triple

T1282607
Position Surface form Disambiguated ID Type / Status
Subject Knivsta Municipality E27359 entity
Predicate hasLocalGovernmentSeat P21613 FINISHED
Object Knivsta E146816 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: Knivsta | Statement: [Knivsta Municipality, hasLocalGovernmentSeat, Knivsta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Knivsta
Context triple: [Knivsta Municipality, hasLocalGovernmentSeat, Knivsta]
  • A. Knivsta chosen
    Knivsta is a small town in Uppsala County, Sweden, known as a growing commuter community situated between Uppsala and Stockholm.
  • B. Stäket
    Stäket is a locality in the northern Stockholm region of Sweden, situated within Järfälla Municipality and known for its residential areas and proximity to Lake Mälaren.
  • C. Cleave
    Cleave is a given name variant of Clive, used as an alternative personal name or spelling.
  • D. Kästa
    Kästa is a small locality situated within Botkyrka Municipality in Stockholm County, Sweden.
  • E. Bladel
    Bladel is a town and municipality in the southern Netherlands, located in the province of North Brabant near the Belgian border.
  • 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: hasLocalGovernmentSeat
Context triple: [Knivsta Municipality, hasLocalGovernmentSeat, Knivsta]
  • A. hasGovernmentSeatType
    Indicates the specific type or classification of the location where a government’s central authority or administrative seat is situated.
  • B. hasSeatOfAdministration chosen
    Indicates that an administrative body or jurisdiction has a specific place or location that serves as its central seat of governance or administration.
  • C. hasLocalGovernmentBody
    Indicates that an entity is administered or overseen by a specific local government authority or governing body.
  • D. hasMunicipalGovernment
    Indicates that an entity is administered or governed by a municipal-level governmental authority.
  • E. mainSeatOf
    Indicates that one entity serves as the primary or central seat (e.g., of government, administration, or authority) for another entity.
  • 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_69a496d3710c8190955dee8bc0dacb50 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c0b47be08190828a1c0a11d94ce8 completed March 1, 2026, 10:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69acacba08f881909230c2d9459d4bc4 completed March 7, 2026, 10:54 p.m.
PD Predicate disambiguation batch_69a4bee276d8819092f71c5a1140bb61 completed March 1, 2026, 10:34 p.m.
Created at: March 1, 2026, 7:50 p.m.