Triple

T20411397
Position Surface form Disambiguated ID Type / Status
Subject Giuseppe Petacchi E500593 entity
Predicate vehicleOperated P12443 FINISHED
Object bomber aircraft 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: bomber aircraft | Statement: [Giuseppe Petacchi, vehicleOperated, bomber aircraft]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: vehicleOperated
Context triple: [Giuseppe Petacchi, vehicleOperated, bomber aircraft]
  • A. vehicleFunction
    Indicates the functional role or primary purpose that a vehicle is designed or used to perform.
  • B. vehicleUsed chosen
    Indicates that a particular vehicle is utilized or employed in performing an action, event, or activity.
  • C. vehicleFor
    Indicates that one entity serves as the means of transportation or conveyance for another entity.
  • D. vehicleInteraction
    Indicates an interaction or relationship occurring between two or more vehicles, such as influencing each other’s movement, position, or behavior.
  • E. throughCarsOperateWith
    Indicates that vehicles operate or move through an area, system, or route in coordination or interaction with another specified element.
  • 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_69e0b4a935588190b9446a99b37ced44 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67a3f8fdc8190b05b6c41b38f34b7 completed April 20, 2026, 7:10 p.m.
PD Predicate disambiguation batch_69e5765d7cb48190adec18d6d1e3d263 completed April 20, 2026, 12:42 a.m.
Created at: April 16, 2026, 11:29 a.m.