Triple

T24777225
Position Surface form Disambiguated ID Type / Status
Subject Jiangnan Mandarin E619892 entity
Predicate hasTransitionalFeaturesBetween P155911 FINISHED
Object Northern Mandarin NE NERFINISHED

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: Northern Mandarin | Statement: [Jiangnan Mandarin, hasTransitionalFeaturesBetween, Northern Mandarin]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTransitionalFeaturesBetween
Context triple: [Jiangnan Mandarin, hasTransitionalFeaturesBetween, Northern Mandarin]
  • A. isTransitionalBetween
    Indicates that something serves as an intermediate or bridging state, form, or phase between two other distinct states, forms, or phases.
  • B. hasIntermediateFeatures chosen
    Indicates that an entity possesses features or characteristics that are between two defined levels, states, or categories in a given context.
  • C. hasSharpTransitionBetween
    Indicates a distinct, abrupt change or boundary between two states, conditions, or regions.
  • D. isPartOfTransitionalZoneBetween
    Indicates that one entity lies within or belongs to an intermediate boundary area that gradually transitions between two distinct regions or states of another entity.
  • E. hasTransitionType
    Indicates the type or category of transition that occurs between two states, phases, or conditions.
  • 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_69e2fabd04488190a2d13c97be745a2d completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f453035f508190be83a3d521723acf completed May 1, 2026, 7:15 a.m.
PD Predicate disambiguation batch_69f44d6ef33081908f5d36ba1ae5f473 completed May 1, 2026, 6:51 a.m.
Created at: April 18, 2026, 4:36 a.m.