Triple

T6479205
Position Surface form Disambiguated ID Type / Status
Subject R44 subway cars E146145 entity
Predicate postRetirementUse P10023 FINISHED
Object reefing as artificial reefs in the Atlantic Ocean 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: reefing as artificial reefs in the Atlantic Ocean | Statement: [R44 subway cars, postRetirementUse, reefing as artificial reefs in the Atlantic Ocean]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: postRetirementUse
Context triple: [R44 subway cars, postRetirementUse, reefing as artificial reefs in the Atlantic Ocean]
  • A. plannedRetirement
    Indicates that an entity has scheduled or intends to end its active role or service at a specified future time.
  • B. roleAfterRetirement chosen
    Indicates the position, function, or status an entity assumes after it has retired from its previous role or activity.
  • C. retirementPattern
    Indicates the typical way or schedule in which an entity withdraws from active service, work, or use.
  • D. retired
    Indicates that an entity has permanently stopped working in their former occupation or role, typically after reaching a certain age or service duration.
  • E. receivesPensionFrom
    Indicates that one entity is the source or provider of a pension that another entity receives.
  • 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_69c008fec7408190af7b146dc63d9750 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a4e764c819086828bb841f588e0 completed March 22, 2026, 10:16 p.m.
PD Predicate disambiguation batch_69c0673f6d48819080e10c85155c7195 completed March 22, 2026, 10:03 p.m.
Created at: March 22, 2026, 4:51 p.m.