Triple

T5066025
Position Surface form Disambiguated ID Type / Status
Subject Kuta Lombok E114145 entity
Predicate languageSpoken P151 FINISHED
Object Sasak E119554 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: Sasak | Statement: [Kuta Lombok, languageSpoken, Sasak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sasak
Context triple: [Kuta Lombok, languageSpoken, 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. Bima
    Bima is a coastal city on the eastern part of Sumbawa Island in Indonesia, known as a regional hub for trade and culture in West Nusa Tenggara.
  • E. Parikia
    Parikia is the main port town and administrative center of the Greek island of Paros, known for its traditional Cycladic architecture and historic sites.
  • 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_69bd443c0c8c81908663b77afb28e165 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd749aceac8190817278266308fd64 completed March 20, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb10778208190a5c6a9457c085491 completed March 21, 2026, 2:53 p.m.
Created at: March 20, 2026, 1:38 p.m.