Triple

T15504440
Position Surface form Disambiguated ID Type / Status
Subject Parrtown E379043 entity
Predicate mergedWith P77 FINISHED
Object Carleton E379044 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: Carleton | Statement: [Parrtown, mergedWith, Carleton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carleton
Context triple: [Parrtown, mergedWith, Carleton]
  • A. Carleton
    Carleton is a federal electoral district in Ontario, Canada, represented in the House of Commons and encompassing parts of the rural and suburban areas around Ottawa.
  • B. Carleton
    Carleton is a surname most notably associated with the Irish writer William Carleton.
  • C. Carleton chosen
    Carleton was a former community or settlement that later became part of the city of Saint John, New Brunswick, Canada.
  • D. Carleton Campus
    Carleton Campus is one of Dalhousie University's campuses, located in Halifax, Nova Scotia, and home to a mix of academic, research, and student facilities.
  • E. Concordia
    Concordia is the original Latin title of the Book of Concord, the foundational collection of Lutheran confessional writings published in 1580.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fcd5d948190b25a67a72ef980e9 completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff366bd31c81909e21075b6b601448 completed May 9, 2026, 1:28 p.m.
Created at: April 10, 2026, 3:54 a.m.