Triple

T15380785
Position Surface form Disambiguated ID Type / Status
Subject Morinomiya Depot E367791 entity
Predicate maintenanceType P118531 FINISHED
Object light maintenance 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: light maintenance | Statement: [Morinomiya Depot, maintenanceType, light maintenance]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: maintenanceType
Context triple: [Morinomiya Depot, maintenanceType, light maintenance]
  • A. maintenancePractice
    Indicates the specific actions or methods used to preserve, repair, or optimize the condition or performance of something over time.
  • B. maintenance
    Indicates that an entity performs, requires, or is involved in upkeep, repair, or preservation activities for another entity or system.
  • C. maintenanceFeature
    Indicates that one entity serves as a maintenance-related feature, capability, or component associated with another entity.
  • D. maintenanceConcept
    Indicates a conceptual or abstract relationship related to maintenance activities, strategies, or principles rather than a specific maintenance event.
  • E. maintenanceCycle
    Indicates the recurring schedule or interval at which maintenance activities are performed or required.
  • 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_69d85a1551a08190ba2caea7cd51c639 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e61928c81908852c355d537ed9c completed April 16, 2026, 1:41 a.m.
PD Predicate disambiguation batch_69ded27742a881909cd73cc5c7d062fd completed April 14, 2026, 11:49 p.m.
PDg Predicate description generation batch_69ded57005608190886cd01f640dfedb completed April 15, 2026, 12:01 a.m.
Created at: April 10, 2026, 3:19 a.m.