Triple

T3751861
Position Surface form Disambiguated ID Type / Status
Subject Viscount Lascelles E81349 entity
Predicate precedenceAbove P34031 FINISHED
Object baron 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: baron | Statement: [Viscount Lascelles, precedenceAbove, baron]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: precedenceAbove
Context triple: [Viscount Lascelles, precedenceAbove, baron]
  • A. hasLowerPrecedenceThan
    Indicates that one item is ranked or ordered with a lower priority or importance compared to another item.
  • B. hasPrecedence chosen
    Indicates that one entity occurs, is considered, or is applied before another in order, priority, or importance.
  • C. orderPrecedence
    Indicates that one entity must come before another in a defined sequence or priority order.
  • D. confersPrecedenceIn
    Indicates that one entity is granted higher priority, rank, or standing over another within a specified context or domain.
  • E. sharesPrecedenceWith
    Indicates that two entities occupy the same level in an ordering or hierarchy, such that neither has priority or precedence over the other.
  • 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_69ad8b19b7b08190a6188804e99c53e9 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb92135c819093f6d616d3ad28ff completed March 8, 2026, 7:18 p.m.
PD Predicate disambiguation batch_69adc04adebc819088d7f36d0ac343a6 completed March 8, 2026, 6:30 p.m.
Created at: March 8, 2026, 3:35 p.m.