Triple

T26905520
Position Surface form Disambiguated ID Type / Status
Subject Detroit–Niagara Falls E677240 entity
Predicate urbanCenterServed P97106 FINISHED
Object Detroit metropolitan area 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: Detroit metropolitan area | Statement: [Detroit–Niagara Falls, urbanCenterServed, Detroit metropolitan area]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: urbanCenterServed
Context triple: [Detroit–Niagara Falls, urbanCenterServed, Detroit metropolitan area]
  • A. majorEmploymentCentersServed
    Indicates that the subject provides access or service to significant hubs of employment, such as large workplaces or business districts.
  • B. cityServedType
    Indicates the type or category of city that is served by a given entity (such as a facility, service, or infrastructure).
  • C. connectsToUrbanCenter chosen
    Indicates that one entity has a direct or functional linkage to an urban center, such as through infrastructure, services, or regular interaction.
  • D. nearbyCityServed
    Indicates that a city is geographically close enough to another city to be considered within its service or support area.
  • E. cityServedRegion
    Indicates that a city provides services to, or functions as an administrative or economic center for, a specified region.
  • 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_69eee9bcef1c8190be88586bb902bb9b completed April 27, 2026, 4:44 a.m.
NER Named-entity recognition batch_69f6352fdb788190b9bad30243690743 completed May 2, 2026, 5:32 p.m.
PD Predicate disambiguation batch_69f631850ae08190a0ba51e4f1e4ccb3 completed May 2, 2026, 5:16 p.m.
Created at: April 27, 2026, 5:58 a.m.