Triple

T29694100
Position Surface form Disambiguated ID Type / Status
Subject Type I string theory E751295 entity
Predicate hasOrientifoldPlanes P190671 FINISHED
Object yes 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: yes | Statement: [Type I string theory, hasOrientifoldPlanes, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasOrientifoldPlanes
Context triple: [Type I string theory, hasOrientifoldPlanes, yes]
  • A. hasD0Branes
    Indicates that an entity possesses or is associated with D0-branes (point-like D-branes) in a given physical or theoretical context.
  • B. hasD8Branes
    Indicates that one entity possesses, contains, or is associated with D8-branes in a physical or theoretical configuration.
  • C. isOrientable
    Indicates that a geometric or topological object can be assigned a consistent orientation throughout its entire structure without contradiction.
  • D. hasD4Branes
    Indicates that one entity possesses or is associated with D4-branes in relation to another entity or context.
  • E. hasD2Branes
    Indicates that an entity possesses or is associated with D2-branes (two-dimensional D-branes) in a given physical or theoretical context.
  • 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_69f0d625b09481909b0b69aea1e846c8 completed April 28, 2026, 3:45 p.m.
NER Named-entity recognition batch_69fcce2cf9188190b3f65b362203a6a3 completed May 7, 2026, 5:38 p.m.
PD Predicate disambiguation batch_69fcccee6240819084680887731ff64b completed May 7, 2026, 5:33 p.m.
PDg Predicate description generation batch_69fccdd2d84481909a7ce22407def9c7 completed May 7, 2026, 5:37 p.m.
Created at: April 28, 2026, 7:19 p.m.