Triple

T1014417
Position Surface form Disambiguated ID Type / Status
Subject Haninge Municipality E21897 entity
Predicate municipalCode P3943 FINISHED
Object 0136 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: 0136 | Statement: [Haninge Municipality, municipalCode, 0136]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: municipalCode
Context triple: [Haninge Municipality, municipalCode, 0136]
  • A. hasMunicipalityCode chosen
    Indicates that an entity is associated with a specific official municipality code used for administrative or identification purposes.
  • B. municipality
    Indicates that one entity is a municipality (a local administrative unit) in which the other entity is located or which it governs.
  • C. isMunicipalHomeOf
    Indicates that a municipality serves as the official home base or hosting location for a particular entity or organization.
  • D. isInMunicipality
    Indicates that one entity (typically a place or address) is located within the administrative boundaries of a specific municipality.
  • E. specialMunicipality
    Indicates that an entity is designated as a special municipality, typically having a distinct administrative or legal status compared to regular municipalities.
  • 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_69a493c68e24819080ed0ee8bcfd5ce0 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b7be907c8190b5c6ea89257755a7 completed March 1, 2026, 10:03 p.m.
PD Predicate disambiguation batch_69a4b72207c08190a3dbb2aa7acbbc71 completed March 1, 2026, 10:01 p.m.
Created at: March 1, 2026, 7:41 p.m.