Triple

T9726316
Position Surface form Disambiguated ID Type / Status
Subject Manila–Singapore E235620 entity
Predicate isNonstopRoute P88065 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: [Manila–Singapore, isNonstopRoute, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isNonstopRoute
Context triple: [Manila–Singapore, isNonstopRoute, true]
  • A. isNonstopPossible
    Indicates that it is possible to perform or complete the referenced trip, route, or process without any intermediate stops or interruptions.
  • B. servedNonstopBy chosen
    Indicates that there is a direct, uninterrupted service (e.g., a route or connection) operating between two entities without any intermediate stops or transfers.
  • C. isPublicTransportRoute
    Indicates that a given route is designated and operated as part of a public transportation system available for general use.
  • D. isOnFreightRoute
    Indicates that something lies along or is included within a designated freight transportation route used for moving goods.
  • E. hasRailRoute
    Indicates that there exists a rail-based transportation route or connection between the related entities.
  • 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_69ca84d0fad481909cdd45aa77416c48 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e798c348190885b79d7dffc9d8d completed April 1, 2026, 10:38 p.m.
PD Predicate disambiguation batch_69cd03c6ffc88190a5e9569e19122ad5 completed April 1, 2026, 11:38 a.m.
Created at: March 30, 2026, 8:21 p.m.