Triple

T12059427
Position Surface form Disambiguated ID Type / Status
Subject Deer District E287126 entity
Predicate capacityDuringMajorEvents P79202 FINISHED
Object tens of thousands of people 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: tens of thousands of people | Statement: [Deer District, capacityDuringMajorEvents, tens of thousands of people]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: capacityDuringMajorEvents
Context triple: [Deer District, capacityDuringMajorEvents, tens of thousands of people]
  • A. capacityDuringEvent chosen
    Indicates the maximum number of occupants or usage level that a place, system, or resource can handle specifically during a given event.
  • B. capacityDuringOlympics
    Indicates the seating or usage capacity of a venue, facility, or service specifically during the Olympic Games period.
  • C. hasEventDayCrowdManagement
    Indicates that specific crowd management measures or responsibilities are associated with the day on which an event takes place.
  • D. officialCapacities
    Indicates that the relationship or action is performed in an entity’s formal, authorized, or institutional role rather than in a personal or informal capacity.
  • E. hasMajorVenue
    Indicates that an entity is associated with a primary or principal venue where its main activities or events take place.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9100b4ca8819084845ca4c13e34ce completed April 10, 2026, 2:58 p.m.
PD Predicate disambiguation batch_69d902bda47c8190b94860b31df4a98c completed April 10, 2026, 2:01 p.m.
Created at: April 8, 2026, 9:47 p.m.