Triple

T16107614
Position Surface form Disambiguated ID Type / Status
Subject Northern Kapampangan E390779 entity
Predicate hasLexicalVariationComparedTo P34645 FINISHED
Object other Kapampangan 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: other Kapampangan dialects | Statement: [Northern Kapampangan, hasLexicalVariationComparedTo, other Kapampangan dialects]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLexicalVariationComparedTo
Context triple: [Northern Kapampangan, hasLexicalVariationComparedTo, other Kapampangan dialects]
  • A. hasLexicalDifferencesWith chosen
    Indicates that two linguistic items differ from each other in their word choice or lexical form.
  • B. hasLinguisticVariationType
    Indicates that one linguistic form is related to another by a specific type of variation, such as dialectal, orthographic, morphological, or phonological difference.
  • C. hasLexicalSimilarityWith
    Indicates that two linguistic items share a significant degree of similarity in form, structure, or wording.
  • D. hasMorphologyDistinctFrom
    Indicates that the morphology (form or structure) of one entity is different from that of another entity.
  • E. hasLinguisticVariety
    Indicates that one entity possesses or exhibits a particular linguistic variety in relation to another entity or context.
  • 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_69d87f1a8dd881909f1de6ef78849874 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1ff6e55c08190b77f344e4e8c42ad completed April 17, 2026, 9:37 a.m.
PD Predicate disambiguation batch_69e182804208819087f35307cd6e4103 completed April 17, 2026, 12:44 a.m.
Created at: April 10, 2026, 5 a.m.