Triple

T34669743
Position Surface form Disambiguated ID Type / Status
Subject Long Thanh International Airport E890344 entity
Predicate designCapacityUltimate P14460 FINISHED
Object 100 million passengers per year 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: 100 million passengers per year | Statement: [Long Thanh International Airport, designCapacityUltimate, 100 million passengers per year]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: designCapacityUltimate
Context triple: [Long Thanh International Airport, designCapacityUltimate, 100 million passengers per year]
  • A. unitCapacity
    Indicates the maximum quantity or load that a single unit is designed or allowed to hold, process, or accommodate.
  • B. typicalCapacity
    Indicates the usual or standard amount, volume, or capability that something is designed or expected to hold, handle, or perform under normal conditions.
  • C. designedCapacityMW
    Indicates the maximum electrical power output, in megawatts, that something is originally designed or rated to produce or handle.
  • D. unitOfCapacity
    Indicates that one entity is a unit used to measure the capacity or volume of another entity.
  • E. maximumCapacity chosen
    Indicates the greatest allowable or designed amount of something that an entity can hold, contain, or handle.
  • 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_69f349d9c59481908b36baa0be093aea completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69fef8c3f2388190b995ec173512945a completed May 9, 2026, 9:05 a.m.
PD Predicate disambiguation batch_69fef65975608190960b78d27e806d4f completed May 9, 2026, 8:54 a.m.
Created at: May 1, 2026, 2:05 a.m.