Triple

T29879533
Position Surface form Disambiguated ID Type / Status
Subject Barito language E758837 entity
Predicate undergoesShiftTo P34686 FINISHED
Object Indonesian language in some communities 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: Indonesian language in some communities | Statement: [Barito language, undergoesShiftTo, Indonesian language in some communities]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: undergoesShiftTo
Context triple: [Barito language, undergoesShiftTo, Indonesian language in some communities]
  • A. shiftsThrough
    Indicates that one entity moves or passes through another entity or medium, typically involving a change in position or state during the traversal.
  • B. shiftsWhen
    Indicates that one state, condition, or configuration changes to another under specified circumstances or triggers.
  • C. shiftedUnder
    Indicates that one entity has been moved or displaced to a position beneath another entity.
  • D. marksShiftToward chosen
    Indicates a change or transition from one state, condition, or position toward another, highlighting the direction or trend of that shift.
  • E. undergoing
    Indicates that an entity is currently experiencing, being subjected to, or in the process of a particular action, change, or treatment.
  • 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_69f2245de2f48190a481404896b56254 completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f7626667f48190ad90867eb67ec582 completed May 3, 2026, 2:57 p.m.
PD Predicate disambiguation batch_69f76175d6608190b60b268e20f49ed9 completed May 3, 2026, 2:53 p.m.
Created at: April 29, 2026, 5:57 p.m.