Triple

T14525550
Position Surface form Disambiguated ID Type / Status
Subject O.P. E340765 entity
Predicate notationPosition P1082 FINISHED
Object post-nominal letters 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: post-nominal letters | Statement: [O.P., notationPosition, post-nominal letters]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: notationPosition
Context triple: [O.P., notationPosition, post-nominal letters]
  • A. notationRole
    Indicates a role or function that an entity plays specifically within a system of notation or symbolic representation.
  • B. notationType
    Indicates the specific system or style of notation used to represent or encode something (such as music, math, or language).
  • C. namePosition chosen
    Indicates the positional or ordering relationship of a name within a sequence or structured context (e.g., first, last, or specific index).
  • D. offsetNotation
    Indicates that one representation specifies how far and in what way another representation is shifted or displaced from a reference point or baseline.
  • E. notation
    Indicates a conventional way of symbolically representing or writing something, such as concepts, quantities, or operations, within a specific system.
  • 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_69d822dac79c8190a84a073f3cbaced5 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dea050781881909ed685d94479bf99 completed April 14, 2026, 8:15 p.m.
PD Predicate disambiguation batch_69de5c518fc08190a6ce4d8be05c4c5d completed April 14, 2026, 3:25 p.m.
Created at: April 10, 2026, 1:22 a.m.