Triple

T9212928
Position Surface form Disambiguated ID Type / Status
Subject Ottawa–Gatineau metropolitan area E221169 entity
Predicate containsCity P294 FINISHED
Object Aylmer E208704 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: Aylmer | Statement: [Ottawa–Gatineau metropolitan area, containsCity, Aylmer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aylmer
Context triple: [Ottawa–Gatineau metropolitan area, containsCity, Aylmer]
  • A. Aylmer
    Aylmer is a small town in southwestern Ontario, Canada, known for its agricultural surroundings and close-knit community within Elgin County.
  • B. Aylmer chosen
    Aylmer is a former city in western Quebec, Canada, now a sector of Gatineau, known for its historic waterfront and residential character along the Ottawa River.
  • C. Elias Loomis
    Elias Loomis was a 19th-century American mathematician and physicist known for his work in astronomy, meteorology, and mathematical education.
  • D. Dervan
    Dervan is a surname most notably associated with American chemist Peter B. Dervan, known for his pioneering work in bioorganic chemistry and DNA recognition.
  • E. Mr. Vandemar
    Mr. Vandemar is a brutal, seemingly immortal assassin and one of the primary antagonists in Neil Gaiman’s urban fantasy novel "Neverwhere."
  • 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_69ca83e9d0e081908bdb71097201a06c completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccda05406081909893bec3a092d3ce completed April 1, 2026, 8:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69d06613daf88190a0128fd53ea1b134 completed April 4, 2026, 1:15 a.m.
Created at: March 30, 2026, 7:27 p.m.