Triple

T26818415
Position Surface form Disambiguated ID Type / Status
Subject Gauss normal chron E675178 entity
Predicate hasPolarityPattern P181120 FINISHED
Object predominantly normal with short reversed subchrons 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: predominantly normal with short reversed subchrons | Statement: [Gauss normal chron, hasPolarityPattern, predominantly normal with short reversed subchrons]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPolarityPattern
Context triple: [Gauss normal chron, hasPolarityPattern, predominantly normal with short reversed subchrons]
  • A. associatedWithPolarity
    Indicates a relationship where one entity is linked to, characterized by, or carries a specific polarity (such as positive, negative, or neutral) in relation to another entity or context.
  • B. logicalPolarity
    Indicates that the truth value of a statement is affirmed (positive) or denied (negative) relative to some logical context.
  • C. polarity
    Indicates whether the relationship or statement is affirmed (positive) or denied/opposed (negative).
  • D. polarizationLevel
    Indicates the degree or intensity of polarization present in a given context, such as between opinions, groups, or signals.
  • E. hasMorphologicalPattern
    Indicates that one entity exhibits or follows a specific morphological pattern defined or associated with another entity.
  • 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_69eee9b6b28481909332f83eb17e5170 completed April 27, 2026, 4:44 a.m.
NER Named-entity recognition batch_69f7626667f48190ad90867eb67ec582 completed May 3, 2026, 2:57 p.m.
PD Predicate disambiguation batch_69f76175d6608190b60b268e20f49ed9 completed May 3, 2026, 2:53 p.m.
PDg Predicate description generation batch_69f762651e088190baa21f25378a6065 completed May 3, 2026, 2:57 p.m.
Created at: April 27, 2026, 4:53 a.m.