Triple

T25398429
Position Surface form Disambiguated ID Type / Status
Subject NH 37 E636354 entity
Predicate formerRouteType P174652 FINISHED
Object National Highway 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: National Highway | Statement: [NH 37, formerRouteType, National Highway]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: formerRouteType
Context triple: [NH 37, formerRouteType, National Highway]
  • A. formerRouteNumber
    Indicates that an entity previously had a specific route number before being renumbered, discontinued, or otherwise changed.
  • B. originalRoute
    Indicates that one route is the initial or primary path from which another route is derived, modified, or compared.
  • C. usesFormerRouteOf
    Indicates that one route, service, or pathway currently follows all or part of the alignment or path that was previously used by another route.
  • D. parentRouteType
    Indicates that one route type serves as the parent or higher-level category for another route type within a route hierarchy.
  • E. primaryRouteType
    Indicates the main category or kind of route associated with an entity, such as its primary mode, path, or routing classification.
  • 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_69e75db263888190b77fff9e2827b9a2 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f6c5b7e46081909975b05f7298cc0e completed May 3, 2026, 3:49 a.m.
PD Predicate disambiguation batch_69f6c3f23ae081909a52801266063a3c completed May 3, 2026, 3:41 a.m.
PDg Predicate description generation batch_69f6c49069e48190a3486b6254a6645b completed May 3, 2026, 3:44 a.m.
Created at: April 21, 2026, 1:50 p.m.