Triple

T5593323
Position Surface form Disambiguated ID Type / Status
Subject Mortlockese language E146933 entity
Predicate hasDialect P4251 FINISHED
Object Lukunor dialect E529793 NE 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: Lukunor dialect | Statement: [Mortlockese language, hasDialect, Lukunor dialect]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lukunor dialect
Context triple: [Mortlockese language, hasDialect, Lukunor dialect]
  • A. Nohurli dialect
    The Nohurli dialect is a regional variety of Turkmen spoken by the Nohur people in parts of Turkmenistan, distinguished by its unique phonetic and lexical features.
  • B. Akusha dialect
    The Akusha dialect is a principal standardized variety of the Dargin language spoken in Dagestan, Russia.
  • C. Satawan dialect chosen
    The Satawan dialect is a regional variety of the Mortlockese language spoken primarily on Satawan Atoll in the Federated States of Micronesia.
  • D. Ersari dialect
    The Ersari dialect is a regional variety of the Turkmen language traditionally spoken by the Ersari Turkmen people, primarily in parts of Turkmenistan and neighboring regions.
  • E. Turu dialect
    Turu dialect is a regional variety of the Berom language spoken by Berom communities in parts of central Nigeria.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c009036c408190981a8d690b679b67 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c020bb08648190ab1f66cc3e897e6d completed March 22, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d38161881909af592db1180e55f completed March 22, 2026, 8:12 p.m.
Created at: March 22, 2026, 3:38 p.m.