Triple

T25715426
Position Surface form Disambiguated ID Type / Status
Subject London–Tokyo E644848 entity
Predicate usedForGovernmentTravel P165002 FINISHED
Object true 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: true | Statement: [London–Tokyo, usedForGovernmentTravel, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedForGovernmentTravel
Context triple: [London–Tokyo, usedForGovernmentTravel, true]
  • A. validForTravelTo
    Indicates that something (such as a document, item, or condition) is acceptable or authorized for use when traveling to a specified destination.
  • B. usedDiplomaticMission
    Indicates that one entity employed or relied on a particular diplomatic mission as a means or channel to carry out some action or achieve some objective.
  • C. usedForAdministrativePurposes
    Indicates that something is employed in managing, organizing, or overseeing official, institutional, or organizational activities and records.
  • D. usedForPassengerFlights
    Indicates that something serves as a means or facility for transporting passengers on flights.
  • E. traveledAs
    Indicates that an entity moved from one place to another in the role, capacity, or identity specified by another entity (e.g., as a tourist, as a representative, as a refugee).
  • 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_69e77e8476fc8190bd5e9d05b89fad0a completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f65705a3048190a3728b695ba2ae65 completed May 2, 2026, 7:56 p.m.
PD Predicate disambiguation batch_69f651a731508190bb0c8c2462eba224 completed May 2, 2026, 7:33 p.m.
PDg Predicate description generation batch_69f6562ef4e4819082ce6abd41b74dc5 completed May 2, 2026, 7:53 p.m.
Created at: April 21, 2026, 9:40 p.m.