Triple

T14569366
Position Surface form Disambiguated ID Type / Status
Subject Hindenburg disaster E341868 entity
Predicate airshipNationality P68259 FINISHED
Object German 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: German | Statement: [Hindenburg disaster, airshipNationality, German]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: airshipNationality
Context triple: [Hindenburg disaster, airshipNationality, German]
  • A. airshipRegistration
    Indicates the formal registration relationship between an airship and the authority or registry that records its official details and identification.
  • B. officiallyFlownOn
    Indicates that something has been formally carried or transported aboard a specific flight or aircraft under official or authorized status.
  • C. isAviationElementOf
    Indicates that something functions as a component or constituent part within a broader aviation-related system, structure, or context.
  • D. aircraftOriginCountry chosen
    Indicates the country from which an aircraft originates, such as where it was built, registered, or primarily associated.
  • E. poweredAircraftType
    Indicates that one entity is a type or category of aircraft that is propelled by an onboard power source (e.g., engines), as opposed to being unpowered.
  • 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb3f2121481908f2385637944785d completed April 14, 2026, 9:38 p.m.
PD Predicate disambiguation batch_69de5c57489c8190b57917be1dba6ae6 completed April 14, 2026, 3:25 p.m.
Created at: April 10, 2026, 1:23 a.m.