Triple

T4503996
Position Surface form Disambiguated ID Type / Status
Subject Allegro trains between Saint Petersburg and Helsinki E101287 entity
Predicate previousTravelTimeOnRoute P56944 FINISHED
Object about 5 hours 30 minutes 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: about 5 hours 30 minutes | Statement: [Allegro trains between Saint Petersburg and Helsinki, previousTravelTimeOnRoute, about 5 hours 30 minutes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: previousTravelTimeOnRoute
Context triple: [Allegro trains between Saint Petersburg and Helsinki, previousTravelTimeOnRoute, about 5 hours 30 minutes]
  • A. travelTimeCategory
    Indicates the qualitative classification of how long a given travel or trip duration is (e.g., short, medium, long).
  • B. previousLocationTime
    Indicates the specific time at which an entity was located at its immediately preceding location before its current one.
  • C. travelTimeTypical
    Indicates the usual or expected amount of time it takes to travel between two locations under normal conditions.
  • D. hasApproximateWalkingTimeTo
    Indicates that there is an estimated or approximate amount of time it takes to walk from one entity to another.
  • E. travelTimeAfterOpening
    Indicates the amount of time required to travel between specified points, measured from the moment a referenced entity (such as a facility or route) becomes open or available.
  • 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_69bd43d175248190894dc58b5b395c26 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd56fca7d4819081deb34628e04f00 completed March 20, 2026, 2:17 p.m.
PD Predicate disambiguation batch_69bd521671688190bc655d25fa77eba2 completed March 20, 2026, 1:56 p.m.
PDg Predicate description generation batch_69bd556b93cc8190ab817d2817109a0b completed March 20, 2026, 2:10 p.m.
Created at: March 20, 2026, 1:01 p.m.