Triple

T28879100
Position Surface form Disambiguated ID Type / Status
Subject 伊良部大橋 E732362 entity
Predicate 車線数 P18336 FINISHED
Object 2車線 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: 2車線 | Statement: [伊良部大橋, 車線数, 2車線]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 車線数
Context triple: [伊良部大橋, 車線数, 2車線]
  • A. laneCount chosen
    Indicates the number of parallel lanes associated with a given road or roadway segment.
  • B. hasLanes
    Indicates that an entity, such as a road or pathway, is divided into one or more distinct lanes for traffic or movement.
  • C. numberOfLanesInFinal
    Indicates the total count of lanes present in the final stage or configuration of something (e.g., a road, track, or process).
  • D. hasTrackLanes
    Indicates that an entity (such as a road or track) includes one or more designated lanes for vehicle or train movement.
  • E. typicalLanes
    Indicates the usual or standard number or configuration of lanes associated with a road or similar transportation segment.
  • 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_69f05b06807c81909b4bbd4c20403a2b completed April 28, 2026, 7 a.m.
NER Named-entity recognition batch_69f65a4d874c819094de2d585e1f5816 completed May 2, 2026, 8:10 p.m.
PD Predicate disambiguation batch_69f65762b5e481908a30ca963dcba4be completed May 2, 2026, 7:58 p.m.
Created at: April 28, 2026, 7:41 a.m.