Triple

T3068664
Position Surface form Disambiguated ID Type / Status
Subject Abu Dhabi Grand Prix E62166 entity
Predicate timeOfDayCharacteristic P6019 FINISHED
Object twilight start 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: twilight start | Statement: [Abu Dhabi Grand Prix, timeOfDayCharacteristic, twilight start]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: timeOfDayCharacteristic
Context triple: [Abu Dhabi Grand Prix, timeOfDayCharacteristic, twilight start]
  • A. timeCharacteristic
    Indicates a relationship where one entity specifies a temporal property, feature, or constraint that characterizes another entity or event.
  • B. dayLengthCharacteristic
    Indicates a relationship where an entity is characterized or defined by the length or duration of its day.
  • C. hasTimeOfDay chosen
    Indicates that a situation, event, or state occurs during, or is associated with, a specific part of the day (e.g., morning, afternoon, evening, night).
  • D. timeDescribedAs
    Indicates that a specific time or temporal interval is characterized, labeled, or expressed using a particular description or representation.
  • E. seasonCharacterization
    Indicates how a particular season is described, defined, or characterized in terms of its qualities or attributes.
  • 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_69ad85793e5c8190a358049bc4a98d8c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada0ffcc208190962cc9edcbf43c31 completed March 8, 2026, 4:17 p.m.
PD Predicate disambiguation batch_69ad9624b7a0819091d255614f5819ea completed March 8, 2026, 3:30 p.m.
Created at: March 8, 2026, 3:02 p.m.