Triple

T14681850
Position Surface form Disambiguated ID Type / Status
Subject LZ 129 Hindenburg E344805 entity
Predicate gasVolume P22265 FINISHED
Object 200000 m³ 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: 200000 m³ | Statement: [LZ 129 Hindenburg, gasVolume, 200000 m³]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: gasVolume
Context triple: [LZ 129 Hindenburg, gasVolume, 200000 m³]
  • A. volumeOf
    Indicates the quantitative three-dimensional space occupied by an entity or contained within an object.
  • B. gasContent chosen
    Indicates that one entity has, contains, or is characterized by a certain amount or type of gas.
  • C. gasSystem
    Indicates a relationship where an entity functions as, is part of, or is associated with a gas-based system used for distribution, control, or processing of gases.
  • D. pressurizedVolume
    Indicates that a specified volume is maintained at a pressure different from ambient (typically higher), often as part of a controlled or sealed system.
  • E. typeOfGasUsed
    Indicates the specific kind of gas that is utilized in relation to an entity or process.
  • 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_69d822e34b348190ada4d1cdb6c7c226 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb56a51ec8190941684fd562a7182 completed April 14, 2026, 9:45 p.m.
PD Predicate disambiguation batch_69de6579fb7881909becc8f5822b39d4 completed April 14, 2026, 4:04 p.m.
Created at: April 10, 2026, 1:28 a.m.