Triple

T3202521
Position Surface form Disambiguated ID Type / Status
Subject Allegro E67082 entity
Predicate approximatePerformanceCount P20922 FINISHED
Object 315 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: 315 | Statement: [Allegro, approximatePerformanceCount, 315]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: approximatePerformanceCount
Context triple: [Allegro, approximatePerformanceCount, 315]
  • A. runtimeApprox
    Indicates an approximate or estimated duration of time that something (such as a process, program, or event) takes to run or complete.
  • B. runsApproximately
    Indicates that an entity performs a running action in a manner that is close to, but not exactly matching, a specified time, distance, speed, or other running-related measure.
  • C. hasApproximateNumberOfMusicians chosen
    Indicates that an entity is associated with an estimated or approximate count of musicians involved with it.
  • D. hasApproximateVendorCount
    Indicates that an entity is associated with an estimated or non-exact number of vendors.
  • E. roundsFiredEstimate
    Indicates an estimated number of shots or rounds that have been fired in a given context 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_69ad8589bd988190afa7ed2bdffb7b33 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada9b046c8819087c0a61c4f9adeb7 completed March 8, 2026, 4:54 p.m.
PD Predicate disambiguation batch_69ad9e078f7c8190813d9fcb4f5071fb completed March 8, 2026, 4:04 p.m.
Created at: March 8, 2026, 3:07 p.m.