Triple

T8436660
Position Surface form Disambiguated ID Type / Status
Subject Brussels metropolitan area E199242 entity
Predicate includesMunicipalityType P10835 FINISHED
Object commuter town 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: commuter town | Statement: [Brussels metropolitan area, includesMunicipalityType, commuter town]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: includesMunicipalityType
Context triple: [Brussels metropolitan area, includesMunicipalityType, commuter town]
  • A. hasMunicipalityType chosen
    Indicates that an administrative unit is classified as having a specific type or category of municipality (e.g., city, town, village).
  • B. isInMunicipality
    Indicates that one entity (typically a place or address) is located within the administrative boundaries of a specific municipality.
  • C. isMunicipal
    Indicates that something belongs to, is administered by, or is characteristic of a municipality or local city government.
  • D. containsDistrictMunicipality
    Indicates that an administrative region includes one or more district municipalities within its boundaries.
  • E. isMunicipalCorporationOf
    Indicates that an entity functions as the municipal governing body responsible for administering and managing the affairs of a specified city or urban area.
  • 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_69ca8314cd6c8190a6b8c2a1096e18f3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe30fba4081908bfdef3faf5baceb completed March 31, 2026, 3:06 p.m.
PD Predicate disambiguation batch_69cbd0ec200c8190b0299e2b0b4bdcc2 completed March 31, 2026, 1:49 p.m.
Created at: March 30, 2026, 6:08 p.m.