Triple

T1400099
Position Surface form Disambiguated ID Type / Status
Subject Billy Bishop Toronto City Airport E30758 entity
Predicate hasJetBan P27750 FINISHED
Object commercial jet ban (with limited exceptions) 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: commercial jet ban (with limited exceptions) | Statement: [Billy Bishop Toronto City Airport, hasJetBan, commercial jet ban (with limited exceptions)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasJetBan
Context triple: [Billy Bishop Toronto City Airport, hasJetBan, commercial jet ban (with limited exceptions)]
  • A. bannedBy
    Indicates that an entity is prohibited or disallowed as a result of a decision or action taken by another entity.
  • B. hasPunishment
    Indicates that an entity is subject to a specified penalty, sanction, or adverse consequence as a result of some action, condition, or rule.
  • C. wasBlacklisted
    Indicates that an entity has been officially banned or excluded from participation, access, or consideration, typically due to disapproval or violation of rules.
  • D. hasJail
    Indicates that one entity possesses, operates, or is associated with a jail or detention facility.
  • E. reasonForBan
    Indicates the justification or cause that led to an entity being banned.
  • F. None of above. chosen

Provenance (4 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_69a498fd4e408190bd73eca30ea9754c completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c39c4c148190997150996ca26a99 completed March 1, 2026, 10:54 p.m.
PD Predicate disambiguation batch_69a4bf017f8081908572121560ec621f completed March 1, 2026, 10:34 p.m.
PDg Predicate description generation batch_69a4c13270d8819081d8ee1be34cabf5 completed March 1, 2026, 10:44 p.m.
Created at: March 1, 2026, 7:59 p.m.