Triple

T31896371
Position Surface form Disambiguated ID Type / Status
Subject Brooke County E814293 entity
Predicate hasCountyNumberInWestVirginia P204137 FINISHED
Object 05 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: 05 | Statement: [Brooke County, hasCountyNumberInWestVirginia, 05]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCountyNumberInWestVirginia
Context triple: [Brooke County, hasCountyNumberInWestVirginia, 05]
  • A. hasCountyNumberInKentucky
    Indicates that a county is assigned a specific official county number within the state of Kentucky.
  • B. hasCountyNumberInOhio
    Indicates that an entity is assigned a specific official county identification number within the state of Ohio.
  • C. hasCountyNumberInIndiana
    Indicates that a county is associated with its designated county number within the state of Indiana.
  • D. hasCountyNumberInKansas
    Indicates that an entity is assigned a specific official county number within the state of Kansas.
  • E. countyNumberInVirginia
    Indicates that a given county is assigned a specific official county number within the state of Virginia.
  • 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_69f348ef817481908440e2250319bcc8 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_6a0332a08b48819094aaed6e04a36886 completed May 12, 2026, 2:01 p.m.
PD Predicate disambiguation batch_6a0331998a688190b5d919697d4231ac completed May 12, 2026, 1:56 p.m.
PDg Predicate description generation batch_6a03329fbbb0819099840a6a011eb411 completed May 12, 2026, 2:01 p.m.
Created at: April 30, 2026, 11:58 p.m.