Triple

T23216361
Position Surface form Disambiguated ID Type / Status
Subject Kelso Bridge E580753 entity
Predicate region P40 FINISHED
Object Borders 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: Borders | Statement: [Kelso Bridge, region, Borders]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Borders
Context triple: [Kelso Bridge, region, Borders]
  • A. Borders
    Borders is a surname of English origin borne by various individuals, including the former professional baseball player Pat Borders.
  • B. Borders
    "Borders" is a politically charged 2015 song by British-Sri Lankan artist M.I.A. that critiques global immigration policies and the treatment of refugees.
  • C. Borders
    Borders was a major American bookstore chain known for its large retail locations offering extensive selections of books, music, and media before its closure in the early 2010s.
  • D. Borders chosen
    Borders is a rural region in southern Scotland known for its rolling hills, historic abbeys, and small market towns near the English border.
  • E. Border
    "Border" is a 1997 Indian war drama film directed by J. P. Dutta that depicts the Battle of Longewala during the Indo-Pakistani War of 1971.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2460389408190be74f41d217799a9 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f19165949c81908e4d66a8a2b0a25a completed April 29, 2026, 5:04 a.m.
Created at: April 17, 2026, 4:08 p.m.