Triple

T7490396
Position Surface form Disambiguated ID Type / Status
Subject California Board of Equalization E176990 entity
Predicate retainsFunction P77830 FINISHED
Object oversight of county assessment practices 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: oversight of county assessment practices | Statement: [California Board of Equalization, retainsFunction, oversight of county assessment practices]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: retainsFunction
Context triple: [California Board of Equalization, retainsFunction, oversight of county assessment practices]
  • A. retained
    Indicates that one entity keeps possession, control, or continued engagement of another entity over a period of time.
  • B. mustRetain
    Indicates that an entity is required to keep or preserve another entity and is not allowed to discard, delete, or release it.
  • C. formerFunction
    Indicates that an entity previously held a specific role, position, or function but no longer does so.
  • D. retentionMethod
    Indicates the method or strategy used to retain or keep something (such as data, customers, or resources) over time.
  • E. contemporaryFunction
    Indicates that one entity serves a role or performs a function during the same time period as another entity.
  • 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_69c69f2583808190bd1a4936c42a5815 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f81b431481908214b69c6c8d83bc completed March 27, 2026, 9:35 p.m.
PD Predicate disambiguation batch_69c6f4d266d88190982cf5d2ee2e9564 completed March 27, 2026, 9:21 p.m.
PDg Predicate description generation batch_69c6f8184bb08190b2f70545a6aa277c completed March 27, 2026, 9:35 p.m.
Created at: March 27, 2026, 3:43 p.m.