Triple

T30545366
Position Surface form Disambiguated ID Type / Status
Subject Noormarkku E777398 entity
Predicate municipalityStatusEnded P138390 FINISHED
Object 2010 LITERAL 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: 2010 | Statement: [Noormarkku, municipalityStatusEnded, 2010]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: municipalityStatusEnded
Context triple: [Noormarkku, municipalityStatusEnded, 2010]
  • A. hasMunicipalStatusUntil
    Indicates that an entity possessed municipal status up to, but not beyond, a specified point in time.
  • B. municipalityStatusGranted
    Indicates that an entity has been officially granted the legal status and recognition of a municipality.
  • C. municipalityStatusAtLocation
    Indicates that an entity holds a specific municipal status (e.g., city, town, village) at or within a particular geographic location.
  • D. previousMunicipalityStatus
    Indicates that one municipality previously held a particular municipal status or classification before a change occurred.
  • E. formerMunicipalityDisestablished chosen
    Indicates that a municipality, which previously existed as an administrative unit, was officially dissolved or ceased to exist at a specific point in time.
  • F. None of above.

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_69f2249d183c8190b79937c1768d2163 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f6e6029a10819098ff21f58079e70e completed May 3, 2026, 6:06 a.m.
PD Predicate disambiguation batch_69f6e3d5e8188190b1e1c2e5d1b77031 completed May 3, 2026, 5:57 a.m.
Created at: April 29, 2026, 8:19 p.m.