Triple

T3274153
Position Surface form Disambiguated ID Type / Status
Subject RV Kilo Moana E68718 entity
Predicate scientistBerths P46308 FINISHED
Object approximately 28 scientists 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: approximately 28 scientists | Statement: [RV Kilo Moana, scientistBerths, approximately 28 scientists]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: scientistBerths
Context triple: [RV Kilo Moana, scientistBerths, approximately 28 scientists]
  • A. involvedScientist
    Indicates that a scientist participated in, contributed to, or was otherwise actively involved with a specified project, study, or activity.
  • B. hasScientificStaff chosen
    Indicates that an entity employs or is associated with one or more individuals serving in scientific or research-related roles.
  • C. alsoServesResearchersFrom
    Indicates that, in addition to its primary audience, an entity provides services or support to researchers from the specified other entity or location.
  • D. chiefScientist
    Indicates that one entity serves as the primary or lead scientist for another entity, typically holding top scientific authority or responsibility.
  • E. researchUser
    Indicates that an entity conducts research on, studies, or investigates a particular user.
  • 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_69ad859b54f881909bf530d549caf2fd completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adaff74af88190809313743b439ff0 completed March 8, 2026, 5:20 p.m.
PD Predicate disambiguation batch_69ada420167c81909b6e2702db296d9e completed March 8, 2026, 4:30 p.m.
Created at: March 8, 2026, 3:10 p.m.