Triple

T34637412
Position Surface form Disambiguated ID Type / Status
Subject Tennessee and Virginia E889466 entity
Predicate borderRunsThrough P108342 FINISHED
Object Appalachian Mountains 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: Appalachian Mountains | Statement: [Tennessee and Virginia, borderRunsThrough, Appalachian Mountains]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: borderRunsThrough
Context triple: [Tennessee and Virginia, borderRunsThrough, Appalachian Mountains]
  • A. borderStraddling
    Indicates that something (such as a feature, structure, or area) extends across and occupies territory on both sides of a border between two regions or jurisdictions.
  • B. hasBorderThrough chosen
    Indicates that a border between two regions or entities passes through or along a specified intermediate area, feature, or object.
  • C. borderWithin
    Indicates that one region’s border lies entirely inside the boundary of another region.
  • D. borderInternal
    Indicates that one entity lies within the interior of another and shares a common boundary with it, without touching the outer boundary of the containing entity.
  • E. crossesBorderOf
    Indicates that one entity passes from one side of the boundary of another entity (typically a region or area) to the other side, traversing its border.
  • 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_69f349d724848190b63ad3407e0006d9 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69ff6a4ce9a08190b98abde3a170dd69 completed May 9, 2026, 5:09 p.m.
PD Predicate disambiguation batch_69ff69c11634819089d1084bd2c11534 completed May 9, 2026, 5:07 p.m.
Created at: May 1, 2026, 2:04 a.m.