Triple

T168698
Position Surface form Disambiguated ID Type / Status
Subject Rikers Island E3071 entity
Predicate hasCapacity P1931 FINISHED
Object several thousand detainees 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: several thousand detainees | Statement: [Rikers Island, hasCapacity, several thousand detainees]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCapacity
Context triple: [Rikers Island, hasCapacity, several thousand detainees]
  • A. hasCapacityType
    Indicates that an entity possesses a specific kind or classification of capacity or capability.
  • B. canHold
    Indicates that one entity has the capacity or ability to contain, support, or carry another entity.
  • C. hasWidth
    Indicates that an entity possesses a specific measurement or extent along its width dimension.
  • D. typicalCapacity chosen
    Indicates the usual or standard amount, volume, or capability that something is designed or expected to hold, handle, or perform under normal conditions.
  • E. hasDimension
    Indicates that an entity possesses a specific measurable extent or size along one or more axes (e.g., length, width, height).
  • 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_69a2524ce1e48190ab066bf72859f474 completed Feb. 28, 2026, 2:26 a.m.
NER Named-entity recognition batch_69a258b6f4f88190b1264bbbeb19a29e completed Feb. 28, 2026, 2:53 a.m.
PD Predicate disambiguation batch_69a25665f5b8819096ca3e084faf976e completed Feb. 28, 2026, 2:43 a.m.
Created at: Feb. 28, 2026, 2:34 a.m.