Triple

T10407910
Position Surface form Disambiguated ID Type / Status
Subject Vila Maumeta E245310 entity
Predicate hasLocalLanguage P4185 FINISHED
Object Raklungu E252053 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: Raklungu | Statement: [Vila Maumeta, hasLocalLanguage, Raklungu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raklungu
Context triple: [Vila Maumeta, hasLocalLanguage, Raklungu]
  • A. Raklungu chosen
    Raklungu is an indigenous local language spoken on Atauro Island, near Timor-Leste.
  • B. Rukuhia
    Rukuhia is a rural locality in the Waikato region of New Zealand, situated just south of Hamilton and known for its proximity to Hamilton Airport.
  • C. Mahlaing
    Mahlaing is a town located in central Myanmar’s Mandalay Region.
  • D. Kasangati
    Kasangati is a town in central Uganda that serves as a growing commercial and residential hub within the Greater Kampala metropolitan area.
  • E. Lugensa
    Lugensa is a genus of seabirds in the petrel family Procellariidae, comprising medium-sized, oceanic birds adapted to long-distance flight over open waters.
  • 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_69d381be340c8190b05998703d42d224 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9f9b59881909797646fd8cd6a7e completed April 7, 2026, 11:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fbf1c428819099ca359309c4c836 completed April 9, 2026, 7:20 p.m.
Created at: April 6, 2026, 12:09 p.m.