Triple

T3437880
Position Surface form Disambiguated ID Type / Status
Subject Shimanami Kaido E72497 entity
Predicate openedAsExpresswaySection P48264 FINISHED
Object late 1990s 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: late 1990s | Statement: [Shimanami Kaido, openedAsExpresswaySection, late 1990s]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: openedAsExpresswaySection
Context triple: [Shimanami Kaido, openedAsExpresswaySection, late 1990s]
  • A. hasExpresswaySection
    Indicates that an entity includes, contains, or is associated with a specific section or segment of an expressway.
  • B. openedAsTollBridge
    Indicates that a bridge was initially opened to traffic as a toll bridge, requiring users to pay a fee to cross.
  • C. openedAsTrunkRoad
    Indicates that a road was originally opened or designated for use as a main trunk road in the highway network.
  • D. openedRouteThrough
    Indicates that one entity has created or established a passage, connection, or pathway that allows movement or access through another entity or area.
  • E. openedToRoadTraffic
    Indicates that something, such as a structure or route, has begun allowing regular use by vehicles or road users.
  • 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_69ad85af50288190a854b76653deee6f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb9f575cc8190866929b1e8930143 completed March 8, 2026, 6:03 p.m.
PD Predicate disambiguation batch_69adae00ad588190bef24373b58a2e1a completed March 8, 2026, 5:12 p.m.
PDg Predicate description generation batch_69adaed74ecc8190b74dc70ab59a3e1c completed March 8, 2026, 5:16 p.m.
Created at: March 8, 2026, 3:16 p.m.