Triple

T37563116
Position Surface form Disambiguated ID Type / Status
Subject United States Census Bureau county divisions E933879 entity
Predicate hasDataRole P95292 FINISHED
Object tabulation area for census data 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: tabulation area for census data | Statement: [United States Census Bureau county divisions, hasDataRole, tabulation area for census data]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDataRole
Context triple: [United States Census Bureau county divisions, hasDataRole, tabulation area for census data]
  • A. hasDataFields
    Indicates that an entity possesses or is associated with specific data fields or attributes.
  • B. hasDataDomain
    Indicates that something is associated with, constrained by, or operates within a particular data domain or scope of data.
  • C. associatedDataRole chosen
    Indicates that one entity has a specific role in relation to data that is linked or connected to another entity.
  • D. hasSourceOfData
    Indicates that one entity serves as the origin or provider of the data used or referenced by another entity.
  • E. hasStatisticalRole
    Indicates that an entity participates in a context (such as a study, dataset, or analysis) with a specific statistical function or role (e.g., variable, parameter, estimator).
  • 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_69f76ecb4acc8190b53f96d0b013e415 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fba61dff5081909fec88a7aeb0c8a1 completed May 6, 2026, 8:35 p.m.
PD Predicate disambiguation batch_69fba350e9a8819095893229d9643572 completed May 6, 2026, 8:23 p.m.
Created at: May 3, 2026, 4:17 p.m.