Triple

T17457409
Position Surface form Disambiguated ID Type / Status
Subject Benrath line E425065 entity
Predicate usedToClassify P127540 FINISHED
Object West Germanic dialects 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: West Germanic dialects | Statement: [Benrath line, usedToClassify, West Germanic dialects]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedToClassify
Context triple: [Benrath line, usedToClassify, West Germanic dialects]
  • A. classificationUsedBy
    Indicates that a particular classification system or scheme is employed or applied by a given entity.
  • B. usesClassifiers
    Indicates that one entity employs or relies on a system of classifiers (such as category labels or measure words) when referring to or organizing another entity.
  • C. areClassifiedBy
    Indicates that entities are assigned to one or more categories, types, or classes according to a specified classification scheme.
  • D. usesClassificationCriteria
    Indicates that one entity applies specific classification criteria to categorize, organize, or evaluate another entity.
  • E. usuallyClassifiedAs
    Indicates that an entity is most commonly or typically placed into a particular category or type, though other classifications may also exist.
  • 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_69d889db0ba481908402409af3b37917 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e45142b08481908cdd290692d796c3 completed April 19, 2026, 3:51 a.m.
PD Predicate disambiguation batch_69e3b4f0e3fc819094e466b74622c956 completed April 18, 2026, 4:44 p.m.
PDg Predicate description generation batch_69e3bbb37d148190b7f38599c06594ee completed April 18, 2026, 5:13 p.m.
Created at: April 10, 2026, 5:47 a.m.