Triple

T2766638
Position Surface form Disambiguated ID Type / Status
Subject USS Maryland (SSBN-738) E61353 entity
Predicate stealthFeature P6774 FINISHED
Object acoustic quieting 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: acoustic quieting | Statement: [USS Maryland (SSBN-738), stealthFeature, acoustic quieting]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: stealthFeature
Context triple: [USS Maryland (SSBN-738), stealthFeature, acoustic quieting]
  • A. protectsFeature
    Indicates that one entity safeguards, preserves, or defends a particular feature or characteristic of another entity.
  • B. securityFeature
    Indicates that an entity provides, embodies, or is associated with a mechanism or property intended to enhance safety, protection, or defense against threats or vulnerabilities.
  • C. technologicalFeature chosen
    Indicates that one entity possesses, exhibits, or is characterized by a specific technological capability, component, or functionality in relation to another entity.
  • D. featuresShield
    Indicates that an entity includes or is equipped with a shield as one of its characteristics or components.
  • E. sensitivityFeature
    Indicates a relationship where one entity functions as a sensitivity-related characteristic, parameter, or attribute of another entity.
  • 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_69ab4b7bab6c8190a5c2efef19a8ef34 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abddceb9d88190961e30d521a21552 completed March 7, 2026, 8:11 a.m.
PD Predicate disambiguation batch_69abdcfc5e1c8190a5ac2c48d3eaeb0a completed March 7, 2026, 8:08 a.m.
Created at: March 6, 2026, 9:57 p.m.