Triple

T6967135
Position Surface form Disambiguated ID Type / Status
Subject America 2-Night E161517 entity
Predicate hasTimeSlot P56910 FINISHED
Object late-night 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: late-night | Statement: [America 2-Night, hasTimeSlot, late-night]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTimeSlot
Context triple: [America 2-Night, hasTimeSlot, late-night]
  • A. hasTimeOptions
    Indicates that an entity is associated with one or more selectable time choices or configurations.
  • B. timeSlotOfWorks chosen
    Indicates the specific time period or interval during which the works (e.g., tasks, events, or activities) are scheduled or take place.
  • C. hasTimetableProvider
    Indicates that an entity is associated with a source or system that supplies its schedule or timetable information.
  • D. hasAllocatedTime
    Indicates that a specific amount or period of time has been reserved or assigned for a particular entity, task, or activity.
  • E. hasReservationIn
    Indicates that an entity holds or possesses a reservation at or within a specified place, service, or event.
  • 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_69c68853cff881908439d488924a8283 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db1373d88190967b42630f8688d6 completed March 27, 2026, 7:31 p.m.
PD Predicate disambiguation batch_69c6d7c0b0a08190b262dfc94992994d completed March 27, 2026, 7:17 p.m.
Created at: March 27, 2026, 2:30 p.m.