Triple

T31377707
Position Surface form Disambiguated ID Type / Status
Subject Andic languages E800355 entity
Predicate morphologicalAlignment P76654 FINISHED
Object ergative–absolutive 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: ergative–absolutive | Statement: [Andic languages, morphologicalAlignment, ergative–absolutive]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: morphologicalAlignment
Context triple: [Andic languages, morphologicalAlignment, ergative–absolutive]
  • A. morphologicalComparison
    Indicates a relationship where two or more entities are compared based on differences or similarities in their morphological (form or structural) characteristics.
  • B. morphologicalEvidence
    Indicates that there is supporting evidence based on the form, structure, or morphology of the entities involved.
  • C. morphologicalInterpretation
    Indicates the specific morphological analysis or grammatical form assigned to an element (such as a word or morpheme) within a linguistic structure.
  • D. grammaticalAlignment chosen
    Indicates how a language aligns core grammatical roles (such as subject, object, or agent, patient) in its case marking or agreement system.
  • E. alignmentShape
    Indicates that one entity’s shape is arranged, oriented, or matched in position relative to another entity’s shape.
  • 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_69f224e84da08190abfc2f17494a33c8 completed April 29, 2026, 3:34 p.m.
NER Named-entity recognition batch_69f6a0ea04888190ac3a813b603bcb5c completed May 3, 2026, 1:12 a.m.
PD Predicate disambiguation batch_69f69fe463248190aa78128abeab1183 completed May 3, 2026, 1:07 a.m.
Created at: April 29, 2026, 9:18 p.m.