Triple

T685847
Position Surface form Disambiguated ID Type / Status
Subject Beijing Daxing International Airport E13280 entity
Predicate terminalType P9111 FINISHED
Object single-terminal 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: single-terminal | Statement: [Beijing Daxing International Airport, terminalType, single-terminal]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: terminalType
Context triple: [Beijing Daxing International Airport, terminalType, single-terminal]
  • A. terminal
    Indicates that one entity is the final or end point in a process, sequence, or structure, beyond which no further continuation occurs.
  • B. terminusType chosen
    Indicates the specific kind or role of an endpoint or terminal within a route, network, or process.
  • C. systemType
    Indicates the classification or category of a system that an entity belongs to or operates as.
  • D. definesDeviceType
    Indicates that one entity specifies or assigns the device type classification of another entity.
  • E. shellType
    Indicates the type or classification of a shell associated with an entity (e.g., its form, structure, or category).
  • 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_69a4933e0f98819097d22766c49b61b8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a0f55f7481909e052a25bd12d455 completed March 1, 2026, 8:26 p.m.
PD Predicate disambiguation batch_69a49d2048d48190ab99ab59accb6909 completed March 1, 2026, 8:10 p.m.
Created at: March 1, 2026, 7:36 p.m.