Triple

T3475134
Position Surface form Disambiguated ID Type / Status
Subject AMS E73354 entity
Predicate usedInAviationIndustry P7940 FINISHED
Object airline ticketing 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: airline ticketing | Statement: [AMS, usedInAviationIndustry, airline ticketing]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedInAviationIndustry
Context triple: [AMS, usedInAviationIndustry, airline ticketing]
  • A. usedInAviation chosen
    Indicates that something is employed or applied within the field or context of aviation.
  • B. usedInAviationAs
    Indicates that something serves a particular role, function, or application within the field of aviation.
  • C. aviationUsage
    Indicates that something is used for, involved in, or associated with aviation-related activities or purposes.
  • D. usedInIndustry
    Indicates that something is employed or applied within a particular industry or industrial sector.
  • E. usedOnAircraftName
    Indicates that something is employed or applied on an aircraft identified by a specific name.
  • 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_69ad85b2fed48190948c8765e453d270 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb593a388190b7786190deba96ed completed March 8, 2026, 6:09 p.m.
PD Predicate disambiguation batch_69adae07802c8190919c49b0e65b2797 completed March 8, 2026, 5:12 p.m.
Created at: March 8, 2026, 3:17 p.m.