Triple

T11411698
Position Surface form Disambiguated ID Type / Status
Subject Gelfand–Kirillov dimension E270385 entity
Predicate canTakeValue P99171 FINISHED
Object nonnegative integer 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: nonnegative integer | Statement: [Gelfand–Kirillov dimension, canTakeValue, nonnegative integer]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: canTakeValue
Context triple: [Gelfand–Kirillov dimension, canTakeValue, nonnegative integer]
  • A. canSet
    Indicates that one entity has the ability or permission to assign, configure, or change a property, value, or state of another entity.
  • B. canTakeActionWith
    Indicates that one entity is able or permitted to perform an action jointly or in coordination with another entity.
  • C. canBe
    Indicates that one entity has the potential, permission, or capability to become, perform as, or be classified as another entity.
  • D. canUse
    Indicates that one entity has the ability, permission, or suitability to make use of another entity or resource.
  • E. canPass
    Indicates that one entity is able or permitted to move through, cross, or successfully traverse another entity or barrier.
  • F. None of above. chosen

Provenance (4 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_69d6aaddeaa8819088b30ef7b50598c9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8015017d08190b4020c76545556d6 completed April 9, 2026, 7:43 p.m.
PD Predicate disambiguation batch_69d7e70ffd708190b62a78ebcbce9f78 completed April 9, 2026, 5:51 p.m.
PDg Predicate description generation batch_69d80010712c819089ea2e31e664abe1 completed April 9, 2026, 7:37 p.m.
Created at: April 8, 2026, 9:34 p.m.