Triple

T4060405
Position Surface form Disambiguated ID Type / Status
Subject 颐和园 E86196 entity
Predicate 交通方式 P1379 FINISHED
Object 可通过地铁公交等公共交通到达 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: 可通过地铁公交等公共交通到达 | Statement: [颐和园, 交通方式, 可通过地铁公交等公共交通到达]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 交通方式
Context triple: [颐和园, 交通方式, 可通过地铁公交等公共交通到达]
  • A. transportType chosen
    Indicates the mode or means of transportation used in carrying something or someone from one place to another.
  • B. transportationFunction
    Indicates that one entity serves to move or carry another entity from one place to another.
  • C. transportModeFamily
    Indicates the general category or family of transportation mode to which a specific transport mode belongs (e.g., road, rail, air, water).
  • D. transportModeIntegration
    Indicates that different modes of transportation are coordinated or combined to enable seamless or efficient movement within a journey or transport system.
  • E. transportation
    Indicates the movement of someone or something from one place to another, typically using a vehicle or transit system.
  • 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_69aed93c69208190a4efac0efe3cd69b completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefd0bdea48190805a79515ee92709 completed March 9, 2026, 5:02 p.m.
PD Predicate disambiguation batch_69aef90438908190a005b08ba271eacf completed March 9, 2026, 4:44 p.m.
Created at: March 9, 2026, 3:38 p.m.