Triple

T15985750
Position Surface form Disambiguated ID Type / Status
Subject Moberly, MO Micropolitan Statistical Area E387687 entity
Predicate urbanCentered P44289 FINISHED
Object true 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: true | Statement: [Moberly, MO Micropolitan Statistical Area, urbanCentered, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: urbanCentered
Context triple: [Moberly, MO Micropolitan Statistical Area, urbanCentered, true]
  • A. notableCityCenter
    Indicates that a location serves as a prominent or significant central area within a city.
  • B. urbanCenterDevelopedBy
    Indicates that an urban center was created, planned, or significantly developed through the actions or initiatives of a particular agent (such as an organization, authority, or project).
  • C. isDowntownCoreOf
    Indicates that a location constitutes the central, most urbanized and commercially dense area of a larger city or metropolitan region.
  • D. isUrbanCenter chosen
    Indicates that a place functions as a primary, densely developed hub of population, services, and activities within a region.
  • E. connectsToUrbanCenter
    Indicates that one entity has a direct or functional linkage to an urban center, such as through infrastructure, services, or regular interaction.
  • 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_69d86daa562c81908aacc179c0fe8fb5 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e17d4e871c819082d7b1c1eaf5b4fe completed April 17, 2026, 12:22 a.m.
PD Predicate disambiguation batch_69e142d9d8e881909b559a3e3ca21d24 completed April 16, 2026, 8:13 p.m.
Created at: April 10, 2026, 4:54 a.m.