Triple

T927742
Position Surface form Disambiguated ID Type / Status
Subject Memphis Sounds E20021 entity
Predicate hasRosterSizeApprox P15427 FINISHED
Object 12 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: 12 | Statement: [Memphis Sounds, hasRosterSizeApprox, 12]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRosterSizeApprox
Context triple: [Memphis Sounds, hasRosterSizeApprox, 12]
  • A. rosterSize chosen
    Indicates the total number of individuals included on a given roster.
  • B. hasAudienceSize
    Indicates the relationship between an entity and the number of people or size of group that receives, views, or engages with it.
  • C. approximateAudienceSize
    Indicates an estimated number of individuals or entities that are expected to be reached or affected in a given context.
  • D. audienceSizeApproximate
    Indicates an estimated or approximate number of people in the audience for an event or content.
  • E. hasPopulationApproximate
    Indicates that an entity has an estimated or approximate population size, rather than an exact count.
  • 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_69a493af3dc48190adb7263e6e445ea1 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b32de3cc81908a0ef885795677ff completed March 1, 2026, 9:44 p.m.
PD Predicate disambiguation batch_69a4b29876348190a29f4ff9878074a5 completed March 1, 2026, 9:41 p.m.
Created at: March 1, 2026, 7:40 p.m.