Triple

T25021726
Position Surface form Disambiguated ID Type / Status
Subject Nathaniel Eaton E626592 entity
Predicate laterWorkLocation P82664 FINISHED
Object Europe NE NERFINISHED

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: Europe | Statement: [Nathaniel Eaton, laterWorkLocation, Europe]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: laterWorkLocation
Context triple: [Nathaniel Eaton, laterWorkLocation, Europe]
  • A. laterLocation
    Indicates that an entity is located at a specified place at a later time than some reference time or earlier location.
  • B. locationInWork
    Indicates that one entity specifies the place or setting where another entity occurs, is situated, or takes place within a particular work (e.g., a scene’s location in a film or a chapter’s setting in a book).
  • C. locationOfWork
    Indicates the place or site where an entity performs its work or carries out its professional activities.
  • D. laterWorksAt chosen
    Indicates that an entity begins working at a place or organization at a time later than another referenced time or employment situation.
  • E. laterOffice
    Indicates that one office or term of office occurs chronologically after another office or term.
  • 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_69e2ff28ee3881909c626af002457a4a completed April 18, 2026, 3:48 a.m.
NER Named-entity recognition batch_69f627aedf548190bc9f53c8a2d67b50 completed May 2, 2026, 4:34 p.m.
PD Predicate disambiguation batch_69f623a4e1048190bbb8dd1253fdcee9 completed May 2, 2026, 4:17 p.m.
Created at: April 18, 2026, 6:06 a.m.