Triple

T22934010
Position Surface form Disambiguated ID Type / Status
Subject Bajo Uma E569525 entity
Predicate name P16 FINISHED
Object Bajo Uma NE NERFINISHED

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: Bajo Uma | Statement: [Bajo Uma, name, Bajo Uma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bajo Uma
Context triple: [Bajo Uma, name, Bajo Uma]
  • A. Bajo Uma chosen
    Bajo Uma is a regional dialect of the Uma language spoken by the Bajo (Bajau) communities in parts of Indonesia.
  • B. Unten
    Unten is a small coastal settlement on Izena Island in Okinawa Prefecture, Japan.
  • C. Subeita
    Subeita is an ancient Nabataean and Byzantine desert settlement in the Negev region of Israel, known for its well-preserved ruins and role along historic trade routes.
  • D. Mecubúri
    Mecubúri is a town and district in northern Mozambique known for its agricultural activities within Nampula Province.
  • E. Mazilu
    Mazilu is a Romanian surname borne by various notable figures in fields such as politics, law, and the arts.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24590862c8190858f180ad302adab completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18134484c8190b7311606c17d058d completed April 29, 2026, 3:55 a.m.
Created at: April 17, 2026, 3:44 p.m.