Triple

T16894624
Position Surface form Disambiguated ID Type / Status
Subject Around the World in 80 Days with Michael Palin E424265 entity
Predicate travelMethodConstraint P33452 FINISHED
Object no air travel 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: no air travel | Statement: [Around the World in 80 Days with Michael Palin, travelMethodConstraint, no air travel]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: travelMethodConstraint
Context triple: [Around the World in 80 Days with Michael Palin, travelMethodConstraint, no air travel]
  • A. transportRestriction chosen
    Indicates that there are limitations, prohibitions, or special conditions governing the use of a particular mode or means of transportation between entities.
  • B. travelsOn
    Indicates that an entity moves or journeys using a particular route, path, or mode of transportation.
  • C. appliesToTransportMode
    Indicates that a rule, condition, or characteristic is specifically associated with and relevant to a particular mode of transport.
  • D. transportAssumption
    Indicates an assumption that something can be transported or carried from one place or context to another.
  • E. transportModeAccess
    Indicates that one entity has the ability or permission to use, reach, or be served by a particular mode of transportation.
  • 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_69d889da3e8c8190a2b118f383f0beac completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3c8d6bfc88190b6b47b89c1135871 completed April 18, 2026, 6:09 p.m.
PD Predicate disambiguation batch_69e32b90ec3c819099c51bb7baf2984c completed April 18, 2026, 6:58 a.m.
Created at: April 10, 2026, 5:29 a.m.