Triple

T3258462
Position Surface form Disambiguated ID Type / Status
Subject RV Falkor E68353 entity
Predicate hasOnboardEquipment P21784 FINISHED
Object multibeam echosounder 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: multibeam echosounder | Statement: [RV Falkor, hasOnboardEquipment, multibeam echosounder]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasOnboardEquipment
Context triple: [RV Falkor, hasOnboardEquipment, multibeam echosounder]
  • A. hasOnboardSystems chosen
    Indicates that an entity is equipped with or contains specific onboard systems or subsystems.
  • B. hasOnboardFeature
    Indicates that an entity includes or is equipped with a particular feature as part of its built-in or onboard capabilities.
  • C. hasOnboardSwitch
    Indicates that one entity is equipped with a built-in switch located on or within it.
  • D. hasOnboardComputer
    Indicates that one entity is equipped with or contains an onboard computer system.
  • E. hasOnboardButton
    Indicates that one entity is equipped with or includes a button installed on or within it.
  • 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_69ad858f74408190bcbd07f967cd7bd0 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaf6a46448190a7fa0ca83fa096f8 completed March 8, 2026, 5:18 p.m.
PD Predicate disambiguation batch_69ada41ae74081909a0d1d696be8e35e completed March 8, 2026, 4:30 p.m.
Created at: March 8, 2026, 3:09 p.m.