Triple

T10223140
Position Surface form Disambiguated ID Type / Status
Subject Godavari Pushkar E242631 entity
Predicate securityArrangements P92827 FINISHED
Object large-scale crowd management 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: large-scale crowd management | Statement: [Godavari Pushkar, securityArrangements, large-scale crowd management]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: securityArrangements
Context triple: [Godavari Pushkar, securityArrangements, large-scale crowd management]
  • A. securityArrangementsBy
    Indicates that one entity is responsible for providing, organizing, or overseeing security arrangements for another entity or situation.
  • B. securityFeature
    Indicates that an entity provides, embodies, or is associated with a mechanism or property intended to enhance safety, protection, or defense against threats or vulnerabilities.
  • C. securityGuarantee
    Indicates a commitment by one party to protect or defend another party against specified threats or risks.
  • D. securityLocation
    Indicates the place or area where security-related activities, measures, or responsibilities are situated or applied.
  • E. securityMechanism
    Indicates a relationship where one entity serves as a means or method to protect another entity from threats, vulnerabilities, or unauthorized actions.
  • F. None of above. chosen

Provenance (4 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_69d381ae26c48190985abd0e25ee5d04 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d3aa8305e481908ee1fc1d9eda6fa0 completed April 6, 2026, 12:43 p.m.
PD Predicate disambiguation batch_69d3955f61f88190b8d37ff645cd44d3 completed April 6, 2026, 11:13 a.m.
PDg Predicate description generation batch_69d3aa208c248190a0fb186b106389f3 completed April 6, 2026, 12:42 p.m.
Created at: April 6, 2026, 11:10 a.m.