Triple

T8601749
Position Surface form Disambiguated ID Type / Status
Subject 1000 m speed skating at the 1998 Winter Olympics E203691 entity
Predicate laneStructure P83805 FINISHED
Object inner lane and outer lane 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: inner lane and outer lane | Statement: [1000 m speed skating at the 1998 Winter Olympics, laneStructure, inner lane and outer lane]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: laneStructure
Context triple: [1000 m speed skating at the 1998 Winter Olympics, laneStructure, inner lane and outer lane]
  • A. roadFeature
    Indicates that an entity is a specific physical or functional characteristic associated with a road, such as its structure, markings, or related infrastructure.
  • B. laneCount
    Indicates the number of parallel lanes associated with a given road or roadway segment.
  • C. roadType
    Indicates the classification or category of a road based on its functional or physical characteristics.
  • D. roadSystem
    Indicates a relationship where multiple roads are organized and connected as part of a larger, integrated transportation network or infrastructure.
  • E. isCarriagewayOf
    Indicates that a given road segment functions as a carriageway that forms part of, or belongs to, a larger road or route.
  • 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_69ca832b56948190ba751cec255308f1 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46da609881909a6d851915e8df14 completed March 31, 2026, 10:12 p.m.
PD Predicate disambiguation batch_69cc454eb2908190acf0e4336bc67e7b completed March 31, 2026, 10:06 p.m.
PDg Predicate description generation batch_69cc46c330bc8190a9b644078881c6ff completed March 31, 2026, 10:12 p.m.
Created at: March 30, 2026, 6:24 p.m.