Triple

T26480755
Position Surface form Disambiguated ID Type / Status
Subject Mapo Bridge E664675 entity
Predicate safetyCampaignsImplemented P79835 FINISHED
Object suicide prevention measures 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: suicide prevention measures | Statement: [Mapo Bridge, safetyCampaignsImplemented, suicide prevention measures]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: safetyCampaignsImplemented
Context triple: [Mapo Bridge, safetyCampaignsImplemented, suicide prevention measures]
  • A. safetyChangesImplemented
    Indicates that specific safety-related modifications or measures have been put into effect.
  • B. safetyPrograms chosen
    Indicates that there are organized measures, policies, or initiatives implemented to protect people or assets from harm or risk.
  • C. hasSafetyInfrastructure
    Indicates that appropriate safety-related structures, systems, or measures are present for the referenced entity or environment.
  • D. safetyPoints
    Indicates a relationship where an entity is assigned or associated with a measure of safety, typically quantified as points reflecting its safety level or performance.
  • E. measuresSafetyUsing
    Indicates that an entity evaluates or assesses safety by employing a specified method, tool, or standard.
  • 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_69ee883bc85481909885f92415cbce33 completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69f61a17a7788190946f7e32d63cd43f completed May 2, 2026, 3:36 p.m.
PD Predicate disambiguation batch_69f611ab768c8190b1849c15a3e59dda completed May 2, 2026, 3 p.m.
Created at: April 27, 2026, 12:26 a.m.