Triple

T29036932
Position Surface form Disambiguated ID Type / Status
Subject Zeeland Charter Township, Michigan E737885 entity
Predicate hasUrbanConnection P94117 FINISHED
Object Holland, Michigan NE NERFINISHED

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: Holland, Michigan | Statement: [Zeeland Charter Township, Michigan, hasUrbanConnection, Holland, Michigan]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasUrbanConnection
Context triple: [Zeeland Charter Township, Michigan, hasUrbanConnection, Holland, Michigan]
  • A. hasUrbanRelation chosen
    Indicates a relationship where one entity is connected to another through an urban context, such as city-based location, influence, or interaction.
  • B. hasUrbanAccess
    Indicates that an entity has access to urban areas, services, or infrastructure.
  • C. hasUrbanFabric
    Indicates that one entity possesses, contains, or is characterized by a particular pattern or structure of built-up urban development.
  • D. hasUrbanFunction
    Indicates that an entity serves a specific role or purpose within an urban context, such as providing services, infrastructure, or activities typical of a city environment.
  • E. hasUrbanFeature
    Indicates that a place or area possesses a specific urban element or infrastructure feature (such as roads, parks, or buildings) as part of its built environment.
  • 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_69f077efb3848190b41574e1670f6ae2 completed April 28, 2026, 9:03 a.m.
NER Named-entity recognition batch_69f6603db2988190af8ce0beaaec257d completed May 2, 2026, 8:36 p.m.
PD Predicate disambiguation batch_69f659d297cc8190b2b962ba30a1edb3 completed May 2, 2026, 8:08 p.m.
Created at: April 28, 2026, 9:59 a.m.