Triple

T7257389
Position Surface form Disambiguated ID Type / Status
Subject Kambera language E157754 entity
Predicate hasCliticPlacement P75601 FINISHED
Object second-position clitics 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: second-position clitics | Statement: [Kambera language, hasCliticPlacement, second-position clitics]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCliticPlacement
Context triple: [Kambera language, hasCliticPlacement, second-position clitics]
  • A. hasCaseMarking
    Indicates that a linguistic element (such as a noun or pronoun) bears a specific grammatical case marking that signals its syntactic or semantic role in a clause.
  • B. hasPhonotacticConstraint
    Indicates that there is a restriction or rule governing which sound sequences or phoneme combinations are allowed in a given linguistic system.
  • C. hasConsonantPlace
    Indicates that a consonant sound is articulated at a particular place of articulation in the vocal tract.
  • D. hasSyllabicStructure
    Indicates that an entity possesses a specific arrangement or pattern of syllables, such as their number, order, or type.
  • E. vowelPlacement
    Indicates the relative position or arrangement of vowel sounds within a linguistic unit, such as a word or syllable.
  • 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_69c6882d81d4819085f7ff862951ee4f completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6eaa3d88081908f59ca5a85790290 completed March 27, 2026, 8:37 p.m.
PD Predicate disambiguation batch_69c6e7666ffc81908bf643d8257e6337 completed March 27, 2026, 8:24 p.m.
PDg Predicate description generation batch_69c6e889854481908c765ce2107f2d3a completed March 27, 2026, 8:28 p.m.
Created at: March 27, 2026, 2:57 p.m.