Triple

T20547819
Position Surface form Disambiguated ID Type / Status
Subject Indian vehicle registration plate system E504517 entity
Predicate includesTemporaryRegistration P140508 FINISHED
Object yes 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: yes | Statement: [Indian vehicle registration plate system, includesTemporaryRegistration, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: includesTemporaryRegistration
Context triple: [Indian vehicle registration plate system, includesTemporaryRegistration, yes]
  • A. isTemporary
    Indicates that the relationship, state, or condition holds only for a limited or non-permanent duration.
  • B. hasTemporaryMembers
    Indicates that an entity is associated with members whose involvement is limited to a non-permanent or time-bounded period.
  • C. hasTemporaryStation
    Indicates that an entity is associated with a station or facility that is intended to be used only for a limited or non-permanent period.
  • D. isTemporaryDesignation
    Indicates that a given designation or label is intended to be used only for a limited time and is not the entity’s permanent or final designation.
  • E. previousRegistration
    Indicates that an entity has been registered at an earlier time or in a prior instance relative to the current 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_69e0b4b52c048190952b4d0f430813a3 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a2991ac8819089b8c2d70eb88952 completed April 20, 2026, 10:03 p.m.
PD Predicate disambiguation batch_69e59fe5592c8190bb6122b784496d02 completed April 20, 2026, 3:39 a.m.
PDg Predicate description generation batch_69e5a6a824748190bbe6192d73f3c613 completed April 20, 2026, 4:08 a.m.
Created at: April 16, 2026, 11:38 a.m.