Triple

T750484
Position Surface form Disambiguated ID Type / Status
Subject O'Hare International Airport E15435 entity
Predicate passengerTrafficRankingWorld P18775 FINISHED
Object among the busiest airports in the world 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: among the busiest airports in the world | Statement: [O'Hare International Airport, passengerTrafficRankingWorld, among the busiest airports in the world]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: passengerTrafficRankingWorld
Context triple: [O'Hare International Airport, passengerTrafficRankingWorld, among the busiest airports in the world]
  • A. peakPassengerTrafficRank
    Indicates the relative position of an entity in an ordered list based on the amount of passenger traffic it experiences at its peak.
  • B. passengerTrafficRankUS
    Indicates the relative ranking of a location or facility within the United States based on the volume of passenger traffic it handles.
  • C. passengerTraffic
    Indicates the flow or volume of passengers moving through or using a particular transport service, route, or facility.
  • D. passengerTrafficRankInEurope
    Indicates the relative position of an entity in Europe based on the volume of passenger traffic it handles.
  • E. peakFreightTrafficRank
    Indicates the relative ranking position of an entity based on the highest level of freight traffic it experiences or handles compared to others.
  • 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_69a493599a0081908da65f3407af1ef2 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a64adf2c81908e48090be35dd9d9 completed March 1, 2026, 8:49 p.m.
PD Predicate disambiguation batch_69a4a5004f708190a984ee221716e19c completed March 1, 2026, 8:43 p.m.
PDg Predicate description generation batch_69a4a58c0a84819094f07658dc651b36 completed March 1, 2026, 8:46 p.m.
Created at: March 1, 2026, 7:37 p.m.