Triple

T32040281
Position Surface form Disambiguated ID Type / Status
Subject Doc Hudson’s Clinic E818201 entity
Predicate townRole P8652 FINISHED
Object healthcare center for vehicles 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: healthcare center for vehicles | Statement: [Doc Hudson’s Clinic, townRole, healthcare center for vehicles]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: townRole
Context triple: [Doc Hudson’s Clinic, townRole, healthcare center for vehicles]
  • A. ethnicRole
    Indicates a role, function, or social position that is specifically associated with or defined by an entity’s ethnicity.
  • B. districtRole
    Indicates that an entity holds a specific role, function, or position within a particular district.
  • C. urbanRole chosen
    Indicates the function, status, or role that an entity holds within an urban or city context.
  • D. tourRole
    Indicates the specific function, capacity, or responsibility an entity has within the context of a tour.
  • E. cultRole
    Indicates that an entity holds a specific role, position, or function within a cult or cult-like group.
  • 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_69f348fbc8148190b3c0f95d4772b153 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6b49ee3788190bfcfaaf7e11211c0 completed May 3, 2026, 2:36 a.m.
PD Predicate disambiguation batch_69f6b151ad008190836c1bcdec503ce2 completed May 3, 2026, 2:22 a.m.
Created at: May 1, 2026, 12:19 a.m.