Triple

T37782032
Position Surface form Disambiguated ID Type / Status
Subject Bars County E941854 entity
Predicate borderedByHistoricalCounty P58874 FINISHED
Object Hont County NE NERFINISHED

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: Hont County | Statement: [Bars County, borderedByHistoricalCounty, Hont County]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: borderedByHistoricalCounty
Context triple: [Bars County, borderedByHistoricalCounty, Hont County]
  • A. bordersHistoricCounty chosen
    Indicates that one historic county shares a boundary with another historic county.
  • B. hasNearbyCountyBorder
    Indicates that the borders of two counties are geographically close to each other, though not necessarily directly adjacent.
  • C. historicalCounty
    Indicates that an entity was located within or associated with a county as it existed in the past, even if that county’s boundaries or administrative status have since changed.
  • D. borderedBy
    Indicates that one entity shares a common boundary or edge with another entity.
  • E. historicBoundaryFor
    Indicates that one entity serves as a historical boundary or border associated with another entity, typically reflecting past territorial or administrative limits.
  • 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_69f76ee5cb0c81909a363d1c929156c0 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_6a00119d821c8190874786391b27ef23 completed May 10, 2026, 5:03 a.m.
PD Predicate disambiguation batch_6a001143fb6881909ac0ae8bfea04351 completed May 10, 2026, 5:01 a.m.
Created at: May 3, 2026, 4:19 p.m.