Triple

T3633047
Position Surface form Disambiguated ID Type / Status
Subject Wood–Anderson torsion seismometer E77001 entity
Predicate dampingType P49705 FINISHED
Object aperiodic damping 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: aperiodic damping | Statement: [Wood–Anderson torsion seismometer, dampingType, aperiodic damping]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: dampingType
Context triple: [Wood–Anderson torsion seismometer, dampingType, aperiodic damping]
  • A. typicalDampingFactor
    Indicates the usual or characteristic level of damping applied in a system or process, describing how strongly motion or oscillations are typically reduced.
  • B. tunedMassDamperFunction
    Indicates that one entity functions as a tuned mass damper, dynamically counteracting vibrations or oscillations experienced by another entity.
  • C. tunedMassDamperWeight_tonnes
    Indicates the weight, measured in metric tonnes, of the tuned mass damper used in a structure or system.
  • D. dispersionType
    Indicates the manner or pattern in which something is spread, scattered, or distributed relative to something else.
  • E. hasTunedMassDamper
    Indicates that an entity is equipped with or incorporates a tuned mass damper as part of its structure or system.
  • 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_69ad85dd0be48190b738990cb20c4731 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc30457608190840fb5b33f9965c4 completed March 8, 2026, 6:42 p.m.
PD Predicate disambiguation batch_69adb842be7c8190b7dfdb7c906f294c completed March 8, 2026, 5:56 p.m.
PDg Predicate description generation batch_69adb902e61c81908f10494f828e260f completed March 8, 2026, 5:59 p.m.
Created at: March 8, 2026, 3:23 p.m.