Triple

T10875569
Position Surface form Disambiguated ID Type / Status
Subject Class D airspace E256788 entity
Predicate doesNotNecessarilyRequireEquipment P64000 FINISHED
Object transponder in all states or countries 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: transponder in all states or countries | Statement: [Class D airspace, doesNotNecessarilyRequireEquipment, transponder in all states or countries]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: doesNotNecessarilyRequireEquipment
Context triple: [Class D airspace, doesNotNecessarilyRequireEquipment, transponder in all states or countries]
  • A. canBeUsedWithout chosen
    Indicates that one entity is capable of functioning or being utilized independently of another specified entity.
  • B. requiresShoesOff
    Indicates that one entity mandates another to remove their shoes, typically as a condition for entry or participation.
  • C. usesEquipment
    Indicates that an entity employs or operates a particular piece of equipment to perform an action or fulfill a function.
  • D. canSitWithout
    Indicates that one entity is able to sit without the presence, support, or assistance of another entity.
  • E. cannotExercise
    Indicates that an entity is unable or not permitted to perform physical exercise or engage in workout activities.
  • 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_69d6aa848804819081b2713ca0bedf06 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7518a1db08190abf0c524b81487fa completed April 9, 2026, 7:13 a.m.
PD Predicate disambiguation batch_69d70d360c388190a3d829fe8862434f completed April 9, 2026, 2:21 a.m.
Created at: April 8, 2026, 9:21 p.m.