Triple

T9363373
Position Surface form Disambiguated ID Type / Status
Subject Austro-Hungarian Navy E225332 entity
Predicate usedNavalAviation P88152 FINISHED
Object yes 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: yes | Statement: [Austro-Hungarian Navy, usedNavalAviation, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedNavalAviation
Context triple: [Austro-Hungarian Navy, usedNavalAviation, yes]
  • A. usedByAirForce
    Indicates that something is employed, operated, or otherwise utilized by an air force.
  • B. usedInAviation
    Indicates that something is employed or applied within the field or context of aviation.
  • C. aircraftMaritimePatrol
    Indicates that an aircraft is engaged in maritime patrol operations, monitoring and surveying sea areas for security, reconnaissance, or search-and-rescue purposes.
  • D. usesCarrierAircraft
    Indicates that one entity employs or operates aircraft that are designed to be launched from and recovered by an aircraft carrier.
  • E. aircraftFlown
    Indicates that an entity (typically a person or organization) operates or pilots a particular aircraft.
  • 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_69ca842bdd648190904131d58620d448 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd503ddf8c81908b090afa54ec5e6d completed April 1, 2026, 5:05 p.m.
PD Predicate disambiguation batch_69cc7a6abb8c81908c7a2f4ee92cc949 completed April 1, 2026, 1:52 a.m.
PDg Predicate description generation batch_69cc955a38108190b602d1e73725f11b completed April 1, 2026, 3:47 a.m.
Created at: March 30, 2026, 7:42 p.m.