Triple

T26133945
Position Surface form Disambiguated ID Type / Status
Subject 1962 Asian Games E659322 entity
Predicate cityInfrastructureImpact P133158 FINISHED
Object accelerated urban development in Jakarta 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: accelerated urban development in Jakarta | Statement: [1962 Asian Games, cityInfrastructureImpact, accelerated urban development in Jakarta]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: cityInfrastructureImpact
Context triple: [1962 Asian Games, cityInfrastructureImpact, accelerated urban development in Jakarta]
  • A. infrastructureImpact
    Indicates the effect that an action, event, or entity has on the condition, performance, or availability of infrastructure systems.
  • B. impactOnUrbanAreas chosen
    Indicates the effect or influence that something has on cities or densely populated urban environments.
  • C. cityRegulationImpact
    Indicates how a specific city regulation affects or influences certain activities, entities, or conditions.
  • D. transportationImpact
    Indicates how one entity’s transportation-related activities or characteristics affect another entity or the surrounding environment.
  • E. infrastructureDamage
    Indicates damage or destruction affecting physical infrastructure such as buildings, roads, utilities, or other constructed facilities.
  • 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_69ee5bc3c20c8190bf2cf272f4170e95 completed April 26, 2026, 6:38 p.m.
NER Named-entity recognition batch_69f60b950b1881909accde0c8547369f completed May 2, 2026, 2:35 p.m.
PD Predicate disambiguation batch_69f5b0021da88190bdd4cf2698c23edf completed May 2, 2026, 8:04 a.m.
Created at: April 26, 2026, 8:16 p.m.