Triple

T17330309
Position Surface form Disambiguated ID Type / Status
Subject Lefschetz fibration E420794 entity
Predicate canBeCompatibleWith P48645 FINISHED
Object symplectic form 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: symplectic form | Statement: [Lefschetz fibration, canBeCompatibleWith, symplectic form]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: canBeCompatibleWith
Context triple: [Lefschetz fibration, canBeCompatibleWith, symplectic form]
  • A. checksCompatibilityWith
    Indicates that one entity evaluates whether it is compatible or can function harmoniously with another entity.
  • B. isGenerallyCompatibleWith chosen
    Indicates that two entities can typically function or coexist together without significant conflict, issues, or need for special adaptation.
  • C. canBeAdaptedBy
    Indicates that one entity is capable of being modified, adjusted, or tailored for use by another entity.
  • D. requiresCompatibilityWith
    Indicates that one entity can only function correctly or be used if it is compatible with another specified entity.
  • E. canCoexistWith
    Indicates that two entities are able to exist together in the same context or environment without conflict, interference, or mutual exclusion.
  • 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_69d889d3adc881909319f1edb8d2a956 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e439d5c788819092bdc4d3de0ec958 completed April 19, 2026, 2:11 a.m.
PD Predicate disambiguation batch_69e3b021a5bc81909ae55406f9d0b37f completed April 18, 2026, 4:24 p.m.
Created at: April 10, 2026, 5:43 a.m.