Triple

T17661353
Position Surface form Disambiguated ID Type / Status
Subject Sonsorolese language E440258 entity
Predicate spokenIn P2266 FINISHED
Object Fanna 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: Fanna | Statement: [Sonsorolese language, spokenIn, Fanna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fanna
Context triple: [Sonsorolese language, spokenIn, Fanna]
  • A. Fanna chosen
    Fanna is a small inhabited settlement located in the remote Sonsorol Islands of the island nation of Palau in the western Pacific Ocean.
  • B. Faya
    Faya is a town in northern Chad that serves as an important oasis and regional administrative center in the Sahara Desert.
  • C. Mirani
    Mirani is a small rural town and locality in Queensland, Australia, known for its sugarcane farming and proximity to the Pioneer Valley.
  • D. Mirani
    Mirani is an electoral district in Queensland, Australia, represented in the state's Legislative Assembly.
  • E. Faina
    Faina is a feminine given name, notably borne by the celebrated Soviet actress Faina Ranevskaya.
  • 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_69d8b9e87e18819087104a44dc4dc5b1 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46ea67f8081909da164ca21a98675 completed April 19, 2026, 5:56 a.m.
Created at: April 10, 2026, 9:43 a.m.