Triple

T953472
Position Surface form Disambiguated ID Type / Status
Subject Dubai Fountain E20573 entity
Predicate numberOfPerformancesPerDay P16914 FINISHED
Object multiple daily shows 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: multiple daily shows | Statement: [Dubai Fountain, numberOfPerformancesPerDay, multiple daily shows]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: numberOfPerformancesPerDay
Context triple: [Dubai Fountain, numberOfPerformancesPerDay, multiple daily shows]
  • A. annualPerformances
    Indicates that performances or events occur on a yearly or once-per-year basis.
  • B. performedFrequency chosen
    Indicates how often an action or activity is carried out within a given time period.
  • C. numberOfActs
    Indicates the total count of discrete acts or actions associated with a given entity or event.
  • D. performsAt
    Indicates that an entity carries out or presents a performance at a specific location, venue, or event.
  • E. performedWith
    Indicates that an action or activity is carried out using, accompanied by, or in conjunction with a specified entity or instrument.
  • 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_69a493b0f2fc81908cd227480a5356a1 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3d8f2e0819097554a301f8aa70f completed March 1, 2026, 9:47 p.m.
PD Predicate disambiguation batch_69a4b2a045308190ab94f3adab40db8d completed March 1, 2026, 9:41 p.m.
Created at: March 1, 2026, 7:40 p.m.