Triple

T3263793
Position Surface form Disambiguated ID Type / Status
Subject Dongzhimen station E68474 entity
Predicate platformType_AirportExpress P46957 FINISHED
Object island platform 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: island platform | Statement: [Dongzhimen station, platformType_AirportExpress, island platform]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: platformType_AirportExpress
Context triple: [Dongzhimen station, platformType_AirportExpress, island platform]
  • A. supportsAirPlay
    Indicates that one entity is capable of sending or receiving media via Apple’s AirPlay streaming protocol in relation to another entity.
  • B. canExpress
    Indicates that an entity has the ability or capacity to convey, articulate, or communicate something (such as an idea, emotion, or property).
  • C. airSupport
    Indicates that one entity provides aerial assistance or backing to another, typically through aircraft-based protection, transport, or attack.
  • D. airPower
    Indicates the extent to which one entity can project, control, or influence force through the use of aircraft and other aerial capabilities over another entity or area.
  • E. supportsThunderbolt
    Indicates that one entity provides compatibility with or the capability to use Thunderbolt technology for another entity.
  • 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_69ad8590444081909e8107a8aeef3a23 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adafaa35e48190b894ca41dd65932b completed March 8, 2026, 5:19 p.m.
PD Predicate disambiguation batch_69ada41d7eac8190ada4bf5f793d5c49 completed March 8, 2026, 4:30 p.m.
PDg Predicate description generation batch_69ada525bb2c8190b773efe6d696b6ab completed March 8, 2026, 4:34 p.m.
Created at: March 8, 2026, 3:09 p.m.