Triple

T16517804
Position Surface form Disambiguated ID Type / Status
Subject Asmara International Airport E401229 entity
Predicate handlesTrafficScope P123866 FINISHED
Object international 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: international | Statement: [Asmara International Airport, handlesTrafficScope, international]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: handlesTrafficScope
Context triple: [Asmara International Airport, handlesTrafficScope, international]
  • A. hasTrafficFunction
    Indicates that an entity performs, supports, or is assigned a specific function or role related to traffic management or control.
  • B. hasTrafficManagement
    Indicates that an entity implements, uses, or is associated with systems or measures for controlling and optimizing traffic flow.
  • C. handlesSignificantShareOfTrafficAt
    Indicates that an entity is responsible for managing or processing a substantial proportion of the traffic volume at a specified location or system.
  • D. handlesCargoTraffic
    Indicates that an entity is responsible for managing or processing the movement of cargo traffic.
  • E. regulatesTrafficBetween
    Indicates that one entity controls, manages, or directs the flow of traffic occurring between two other entities or locations.
  • 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_69d883838abc8190bc79cb2d41733ce2 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e7da2248190a540a5ef8686963d completed April 18, 2026, 7:10 a.m.
PD Predicate disambiguation batch_69e296995d388190b88ebe189dce890d completed April 17, 2026, 8:22 p.m.
PDg Predicate description generation batch_69e2d7f97e548190a474691a152bd8e8 completed April 18, 2026, 1:01 a.m.
Created at: April 10, 2026, 5:14 a.m.