Triple

T17195311
Position Surface form Disambiguated ID Type / Status
Subject CL-215T E417333 entity
Predicate waterScoopingCapability P54164 FINISHED
Object yes 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: yes | Statement: [CL-215T, waterScoopingCapability, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: waterScoopingCapability
Context triple: [CL-215T, waterScoopingCapability, yes]
  • A. blueWaterCapability
    Indicates the capability of a naval force to operate effectively on the open oceans far from its home shores.
  • B. waterFunction
    Indicates that one entity serves a particular role, purpose, or function in relation to water (e.g., how it uses, manages, affects, or interacts with water).
  • C. waterInput
    Indicates that an entity receives or is supplied with water from another source or system.
  • D. hasWaterCharacteristics
    Indicates that one entity possesses qualities, properties, or behaviors characteristic of water.
  • E. canScoopWaterInFlight chosen
    Indicates that an entity is capable of scooping or collecting water while it is in flight.
  • 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_69d886d6ba8c819093215917b3d01689 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42da9e6208190b5c4e5925e840217 completed April 19, 2026, 1:19 a.m.
PD Predicate disambiguation batch_69e383141ae0819096acd71683637cbc completed April 18, 2026, 1:11 p.m.
Created at: April 10, 2026, 5:38 a.m.