Triple

T10991142
Position Surface form Disambiguated ID Type / Status
Subject Dirichlet L-functions E259755 entity
Predicate hasZeroType P16808 FINISHED
Object trivial zeros 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: trivial zeros | Statement: [Dirichlet L-functions, hasZeroType, trivial zeros]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasZeroType
Context triple: [Dirichlet L-functions, hasZeroType, trivial zeros]
  • A. isZeroFor
    Indicates that a given value, expression, or function evaluates to zero when applied to or considered with respect to a specified entity or context.
  • B. hasNotableType
    Indicates that an entity is associated with a specific notable category or type that characterizes its significance or role.
  • C. hasSoleType
    Indicates that an entity possesses a specific type of sole as its defining or primary sole classification.
  • D. hasIndependentDigitZero
    Indicates that an entity possesses at least one digit or numeral component that is a zero considered as a distinct, standalone element.
  • E. haveType chosen
    Indicates that an entity belongs to or is classified under a specified type or category.
  • 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_69d6aa8a6a548190a750f944ccdc8064 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d787b8d7088190b7d6b63c3bac4ad1 completed April 9, 2026, 11:04 a.m.
PD Predicate disambiguation batch_69d72e93ac648190b46c5d12bf3eb1e9 completed April 9, 2026, 4:44 a.m.
Created at: April 8, 2026, 9:24 p.m.