Triple

T33579766
Position Surface form Disambiguated ID Type / Status
Subject Picard group E860119 entity
Predicate degreeMap P177436 FINISHED
Object for a smooth projective curve C, there is a degree homomorphism deg: Pic(C) → Z 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: for a smooth projective curve C, there is a degree homomorphism deg: Pic(C) → Z | Statement: [Picard group, degreeMap, for a smooth projective curve C, there is a degree homomorphism deg: Pic(C) → Z]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: degreeMap
Context triple: [Picard group, degreeMap, for a smooth projective curve C, there is a degree homomorphism deg: Pic(C) → Z]
  • A. degreeNumber
    Indicates the specific numeric value assigned to a degree, such as its level, rank, or sequence number.
  • B. degreeOver
    Indicates that one entity’s degree, level, or extent exceeds that of another entity.
  • C. degreeIn2
    Indicates that the second entity holds an academic degree in the field or program represented by the first entity.
  • D. degreeNComponent
    Indicates that one entity is a component or part of another entity specifically in the context of its degree or level.
  • E. degreeExample
    Indicates that an entity serves as an illustrative example or instance of a particular degree, level, or extent of something.
  • 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_69f3497d37848190afcbb5ef3f5c7376 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6fb93224881908fc66fe76115fcdb completed May 3, 2026, 7:38 a.m.
PD Predicate disambiguation batch_69f6f96badb08190994442c2aba840b1 completed May 3, 2026, 7:29 a.m.
PDg Predicate description generation batch_69f6fb17d5ec81909091e37e1ddbe577 completed May 3, 2026, 7:36 a.m.
Created at: May 1, 2026, 1:40 a.m.