Triple

T20685348
Position Surface form Disambiguated ID Type / Status
Subject sas E508397 entity
Predicate hasGlottologName P6521 FINISHED
Object Sasak 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: Sasak | Statement: [sas, hasGlottologName, Sasak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sasak
Context triple: [sas, hasGlottologName, Sasak]
  • A. Sasak chosen
    Sasak is an Austronesian language spoken primarily by the Sasak people on the Indonesian island of Lombok.
  • B. Sasamungga
    Sasamungga is a coastal village and local community on Choiseul Island in the Solomon Islands.
  • C. Kusno
    Kusno was the birth name of Sukarno, the first President of Indonesia and a leading figure in the country’s independence movement.
  • D. Pakualaman
    Pakualaman is a small hereditary Javanese princely state and court within Yogyakarta, established in the 19th century as a minor parallel to the main sultanate.
  • E. Nanggu
    Nanggu is an Oceanic language spoken by a small community in the Solomon Islands, known for its distinct phonology and limited number of speakers.
  • 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_69e0b4c1ed408190b72dd26b1e33f8a1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6beabf72881909771b6c6a81276d6 completed April 21, 2026, 12:02 a.m.
Created at: April 16, 2026, 11:45 a.m.