Triple

T3049578
Position Surface form Disambiguated ID Type / Status
Subject Palace of Conventions, Havana E83533 entity
Predicate hasConferenceCapacity P15029 FINISHED
Object thousands of participants 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: thousands of participants | Statement: [Palace of Conventions, Havana, hasConferenceCapacity, thousands of participants]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasConferenceCapacity
Context triple: [Palace of Conventions, Havana, hasConferenceCapacity, thousands of participants]
  • A. hasConferenceSpace
    Indicates that an entity provides or includes dedicated space suitable for holding conferences, meetings, or similar gatherings.
  • B. hasConference
    Indicates that an entity organizes, hosts, or is associated with a specific conference.
  • C. audienceCapacityType
    Indicates the classification or type of capacity used to describe how many audience members a venue or event space can accommodate.
  • D. hasCapacityTo
    Indicates that one entity possesses the ability, power, or potential to perform an action or bring about a particular effect in relation to another entity or context.
  • E. hasAudienceSize chosen
    Indicates the relationship between an entity and the number of people or size of group that receives, views, or engages with it.
  • 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_69ad8b24924c8190a9bb6f61d519e4ae completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9bb00a348190877c9cbf0f13cba4 completed March 8, 2026, 3:54 p.m.
PD Predicate disambiguation batch_69ad962195388190856013a2519c2b0f completed March 8, 2026, 3:30 p.m.
Created at: March 8, 2026, 3:01 p.m.