Triple

T2505291
Position Surface form Disambiguated ID Type / Status
Subject Khoe languages E52562 entity
Predicate hasMorphosyntacticAlignment P7162 FINISHED
Object largely nominative–accusative with some unusual agreement patterns 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: largely nominative–accusative with some unusual agreement patterns | Statement: [Khoe languages, hasMorphosyntacticAlignment, largely nominative–accusative with some unusual agreement patterns]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMorphosyntacticAlignment
Context triple: [Khoe languages, hasMorphosyntacticAlignment, largely nominative–accusative with some unusual agreement patterns]
  • A. hasLinguisticFeature chosen
    Indicates that an entity possesses a particular linguistic property, trait, or characteristic.
  • B. hasSyllableStructure
    Indicates that an entity (typically a word or morpheme) possesses a particular arrangement or pattern of syllables.
  • C. hasGrammaticalSimilarityTo
    Indicates that two linguistic elements share similar grammatical structure, form, or function.
  • D. hasLexicalInfluenceOn
    Indicates that one linguistic element (such as a word, phrase, or lexicon) has affected or shaped the form, usage, or meaning of another linguistic element.
  • E. hasLinguisticElement
    Indicates that one entity includes, is associated with, or is characterized by a particular linguistic component such as a word, phrase, symbol, or other language element.
  • 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_69ab4957b3a88190adf968ae0c1b931c completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd65d6a988190aaaac8e98540a14f completed March 7, 2026, 7:40 a.m.
PD Predicate disambiguation batch_69abd0bd996c8190ba8b9d6e4333b8d4 completed March 7, 2026, 7:16 a.m.
Created at: March 6, 2026, 9:46 p.m.