Triple

T16335047
Position Surface form Disambiguated ID Type / Status
Subject Thirlestane Castle E396655 entity
Predicate locatedIn P40 FINISHED
Object Borders E86254 NE 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: Borders | Statement: [Thirlestane Castle, locatedIn, Borders]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Borders
Context triple: [Thirlestane Castle, locatedIn, 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 chosen
    Borders is a rural region in southern Scotland known for its rolling hills, historic abbeys, and small market towns near the English border.
  • D. 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.
  • E. Border Lines
    Border Lines is a thematic section of the Zurich Film Festival that showcases films exploring political, social, and humanitarian conflicts and the borders—literal and metaphorical—that define them.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d87f26864c819088365ca381a003c2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2c4e29db88190936a07deb5b1c1e3 completed April 17, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0026193a3c81909c640426ab798c1c completed May 10, 2026, 6:30 a.m.
Created at: April 10, 2026, 5:07 a.m.