Triple

T1063315
Position Surface form Disambiguated ID Type / Status
Subject Balinese E22953 entity
Predicate relatedEthnicGroup P1969 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: [Balinese, relatedEthnicGroup, Sasak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sasak
Context triple: [Balinese, relatedEthnicGroup, Sasak]
  • A. Sasak chosen
    Sasak is an Austronesian language spoken primarily by the Sasak people on the Indonesian island of Lombok.
  • B. Nusa Kode
    Nusa Kode is a small, remote island within Indonesia’s Komodo archipelago, known for its rugged terrain, rich marine life, and populations of Komodo dragons.
  • C. Sumbawa
    Sumbawa is an island in central Indonesia, part of the Lesser Sunda Islands, known for its volcanic landscapes, surfing spots, and relatively low population density compared to neighboring Bali and Lombok.
  • D. Bantia
    Bantia was an ancient Oscan-speaking city in southern Italy, notable for yielding important inscriptions that illuminate the Oscan language and Italic legal traditions.
  • E. Kuta Lombok
    Kuta Lombok is a coastal town on the Indonesian island of Lombok known for its scenic white-sand beaches, surf breaks, and laid-back tourism atmosphere.
  • 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_69a493dada0481909c43649f9843ea91 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b8f85cc08190ae03ac6c84936cc5 completed March 1, 2026, 10:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac7f2b76308190a843ccad1ef95f07 completed March 7, 2026, 7:40 p.m.
Created at: March 1, 2026, 7:42 p.m.