Triple

T11068585
Position Surface form Disambiguated ID Type / Status
Subject Arizona legislative districts E261686 entity
Predicate firstIndependentCommissionUse P97626 FINISHED
Object post-2000 census redistricting cycle 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: post-2000 census redistricting cycle | Statement: [Arizona legislative districts, firstIndependentCommissionUse, post-2000 census redistricting cycle]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: firstIndependentCommissionUse
Context triple: [Arizona legislative districts, firstIndependentCommissionUse, post-2000 census redistricting cycle]
  • A. firstOfficialUse
    Indicates the earliest point in time when something was formally or officially put into use.
  • B. firstCommercialUse
    Indicates the earliest point in time at which something was used commercially or put into commercial operation.
  • C. firstUsedFor
    Indicates that one entity was the earliest or original thing for which another entity was used or applied.
  • D. firstHistoricalUse
    Indicates that the subject entity represents the earliest known or recorded instance of the object entity being used or occurring in history.
  • E. firstOperationalUse
    Indicates the point in time or context when something is used operationally for the very first time.
  • F. None of above. chosen

Provenance (4 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_69d6aa9983c08190b0ef61603b69feac completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7992164d88190a01ed567b2529227 completed April 9, 2026, 12:18 p.m.
PD Predicate disambiguation batch_69d74411d9e881908c0eeafa0f38e4b6 completed April 9, 2026, 6:15 a.m.
PDg Predicate description generation batch_69d750c99f9881908ee2b01b6ce4b3a1 completed April 9, 2026, 7:10 a.m.
Created at: April 8, 2026, 9:26 p.m.