Triple

T28064744
Position Surface form Disambiguated ID Type / Status
Subject Town of Danville E709212 entity
Predicate hasLocalGovernmentDesignation P128493 FINISHED
Object town rather than city 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: town rather than city | Statement: [Town of Danville, hasLocalGovernmentDesignation, town rather than city]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLocalGovernmentDesignation
Context triple: [Town of Danville, hasLocalGovernmentDesignation, town rather than city]
  • A. hasDevelopmentDesignation
    Indicates that an entity is assigned a specific development-related status, category, or designation within a development process or framework.
  • B. communityDesignation chosen
    Indicates that an entity is formally assigned or recognized with a specific community-related status, label, or role.
  • C. hasLocalAdministrativeSignificance
    Indicates that something holds official importance or authority within a specific local administrative area or jurisdiction.
  • D. cityPlanningDesignation
    Indicates how an area is officially classified or designated within urban or municipal planning (e.g., residential, commercial, industrial).
  • E. religiousDesignation
    Indicates the specific religious role, status, or affiliation assigned to an entity.
  • 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_69ef9b6eb6d88190a3fea236eb0f7bed completed April 27, 2026, 5:22 p.m.
NER Named-entity recognition batch_69f7886be6d8819095ec62e4f2cee858 completed May 3, 2026, 5:39 p.m.
PD Predicate disambiguation batch_69f7841440f48190b4346c08855951d2 completed May 3, 2026, 5:21 p.m.
Created at: April 27, 2026, 8:42 p.m.