Triple

T22933756
Position Surface form Disambiguated ID Type / Status
Subject Saluan E569515 entity
Predicate hasNeighboringLanguages P16383 FINISHED
Object Banggai 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: Banggai | Statement: [Saluan, hasNeighboringLanguages, Banggai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Banggai
Context triple: [Saluan, hasNeighboringLanguages, Banggai]
  • A. Banggai
    Banggai is a coastal town and regency seat in Indonesia known for its location in the Banggai Islands off the eastern coast of Central Sulawesi.
  • B. Sitangkai
    Sitangkai is a coastal municipality in the Philippine province of Tawi-Tawi known for its stilt houses, extensive waterways, and vibrant seafaring culture.
  • C. Banggai Islands chosen
    The Banggai Islands are an archipelago in eastern Indonesia known for their rich marine biodiversity, traditional fishing communities, and the endemic Banggai cardinalfish.
  • 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. Saparua
    Saparua is an island in Indonesia’s Maluku province, known historically as a center of the spice trade and for its colonial-era forts and coastal villages.
  • 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_69e2458f7d008190901dccbaebeaba24 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.