Triple

T15602085
Position Surface form Disambiguated ID Type / Status
Subject Pythagorean table of opposites E375057 entity
Predicate includesOppositePair P46528 FINISHED
Object limited / unlimited 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: limited / unlimited | Statement: [Pythagorean table of opposites, includesOppositePair, limited / unlimited]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: includesOppositePair
Context triple: [Pythagorean table of opposites, includesOppositePair, limited / unlimited]
  • A. isPairOf chosen
    Indicates that two entities are associated as a matched or corresponding pair within a defined context.
  • B. hasOppositeStructure
    Indicates that one entity possesses a structure that is the inverse or opposite in form, arrangement, or organization relative to another entity.
  • C. hasOppositeNumberInCalendar
    Indicates that one calendar date is paired with another date designated as its opposite within a specific calendrical system or scheme.
  • D. hasOppositeStatus
    Indicates that two entities hold directly contrasting or mutually exclusive statuses within a given context.
  • E. hasOppositeNumberForm
    Indicates that one entity is represented by a number form that is the opposite (e.g., additive vs. subtractive, positive vs. negative, or otherwise contrastive) of the number form used to represent the other entity.
  • 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_69d85cce25008190b13b52745fbd719b completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e6399d88190b2c3e781667666d4 completed April 16, 2026, 2:50 a.m.
PD Predicate disambiguation batch_69deda844af081909e658ebc9d9b403d completed April 15, 2026, 12:23 a.m.
Created at: April 10, 2026, 4:12 a.m.