Triple

T30019879
Position Surface form Disambiguated ID Type / Status
Subject High Sheriff of Worcestershire E762703 entity
Predicate hasRankInCounty P180883 FINISHED
Object one of the oldest secular offices under the Crown 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: one of the oldest secular offices under the Crown | Statement: [High Sheriff of Worcestershire, hasRankInCounty, one of the oldest secular offices under the Crown]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRankInCounty
Context triple: [High Sheriff of Worcestershire, hasRankInCounty, one of the oldest secular offices under the Crown]
  • A. inCounty
    Indicates that one entity is geographically or administratively located within the boundaries of a specified county.
  • B. populationRankInCounty
    Indicates the relative position of an entity in terms of population size compared to other entities within the same county.
  • C. isInCountySeatOf
    Indicates that one entity is located within the town or city that serves as the administrative center (county seat) of a specified county.
  • D. hasParentCounty
    Indicates that a given county is administratively or geographically contained within, and subordinate to, a specified parent county.
  • E. isNamedCountyOf
    Indicates that a county bears a specific official name within a given jurisdiction or context.
  • 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_69f2246b0c84819094f1250b6a02d277 completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f757898fe48190b124dc7301672623 completed May 3, 2026, 2:11 p.m.
PD Predicate disambiguation batch_69f754c484348190948d2a04ff228fb1 completed May 3, 2026, 1:59 p.m.
PDg Predicate description generation batch_69f75788d40c819083bf2567b3091585 completed May 3, 2026, 2:11 p.m.
Created at: April 29, 2026, 6:47 p.m.