Triple

T3813871
Position Surface form Disambiguated ID Type / Status
Subject TOR E84202 entity
Predicate ambiguityNote P31777 FINISHED
Object can also be an abbreviation for Toronto in other sports contexts LITERAL 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: can also be an abbreviation for Toronto in other sports contexts | Statement: [TOR, ambiguityNote, can also be an abbreviation for Toronto in other sports contexts]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ambiguityNote
Context triple: [TOR, ambiguityNote, can also be an abbreviation for Toronto in other sports contexts]
  • A. languageAmbiguity chosen
    Indicates that the meaning, interpretation, or reference of a linguistic expression is unclear or can be understood in multiple ways.
  • B. viewOnAmbiguity
    Indicates an entity’s stance or attitude toward ambiguity, such as how much uncertainty or vagueness it accepts or prefers.
  • C. notation
    Indicates a conventional way of symbolically representing or writing something, such as concepts, quantities, or operations, within a specific system.
  • D. disputedInterpretation
    Indicates that there is disagreement or contention over how something should be understood, interpreted, or explained.
  • E. uncertainty
    Indicates that there is doubt, lack of sureness, or incomplete confidence about a fact, outcome, or state of affairs in the relationship or situation described.
  • 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_69aed931f5908190be2c07af66d4df25 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef1515c688190a38332aedeed8a76 completed March 9, 2026, 4:12 p.m.
PD Predicate disambiguation batch_69aee7482d708190a3ec74745b102a4c completed March 9, 2026, 3:29 p.m.
Created at: March 9, 2026, 3:17 p.m.