Triple

T2019515
Position Surface form Disambiguated ID Type / Status
Subject Mina E44071 entity
Predicate hasSafetyInfrastructure P34538 FINISHED
Object crowd management systems 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: crowd management systems | Statement: [Mina, hasSafetyInfrastructure, crowd management systems]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSafetyInfrastructure
Context triple: [Mina, hasSafetyInfrastructure, crowd management systems]
  • A. hasFloodProtectionInfrastructure
    Indicates that there exists built or implemented infrastructure designed to protect against or mitigate flooding for the referenced entity.
  • B. hasHazardSignage
    Indicates that appropriate warning or hazard signs are present to alert people to potential dangers associated with the entity.
  • C. safetyRequirement
    Indicates that one entity specifies or imposes conditions, standards, or measures necessary to ensure the safety of another entity or activity.
  • D. hasSafeStandingAreas
    Indicates that designated locations within an area provide secure, stable, and protected spots where individuals can safely stand.
  • E. safety
    Indicates that an entity provides, ensures, or is associated with protection from harm, danger, or risk for another entity or within a given context.
  • 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_69a8891201bc8190aca837be6de41579 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb8cfa5c88190b55bce5db968665b completed March 7, 2026, 5:34 a.m.
PD Predicate disambiguation batch_69abb7a389408190a84a54856352f15b completed March 7, 2026, 5:29 a.m.
PDg Predicate description generation batch_69abb83e7888819096dc40275c77daff completed March 7, 2026, 5:31 a.m.
Created at: March 4, 2026, 7:38 p.m.