Triple

T14789895
Position Surface form Disambiguated ID Type / Status
Subject Ohio–Kentucky border E347624 entity
Predicate hasHistoricalDisputes P3572 FINISHED
Object jurisdiction over Ohio River 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: jurisdiction over Ohio River | Statement: [Ohio–Kentucky border, hasHistoricalDisputes, jurisdiction over Ohio River]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasHistoricalDisputes
Context triple: [Ohio–Kentucky border, hasHistoricalDisputes, jurisdiction over Ohio River]
  • A. hasDisputeHistory chosen
    Indicates that there has been at least one prior dispute or conflict involving the related entities.
  • B. hasDisputedStatusWith
    Indicates that there is a contested or unresolved status, claim, or standing between the related entities.
  • C. hasDisputedStatus
    Indicates that the status or classification of something is contested, uncertain, or not universally agreed upon.
  • D. hasDisputedPeriod
    Indicates that there exists a time span associated with the subject whose occurrence, duration, or validity is contested or not mutually agreed upon.
  • E. hasDisputedIdentityWith
    Indicates that two entities are associated with conflicting, uncertain, or contested identifications, such that their true or correct identities are in dispute relative to each other.
  • 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_69d822e9b9e08190bedcc31a163fda82 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decaa1e9ec81908d7c26c1c4e43014 completed April 14, 2026, 11:15 p.m.
PD Predicate disambiguation batch_69de8c090d1081909b5a9bf437499d6c completed April 14, 2026, 6:48 p.m.
Created at: April 10, 2026, 1:31 a.m.