Triple

T7567110
Position Surface form Disambiguated ID Type / Status
Subject Banda Islands E178943 entity
Predicate hasIsland P970 FINISHED
Object Banda Neira E155666 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: Banda Neira | Statement: [Banda Islands, hasIsland, Banda Neira]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Banda Neira
Context triple: [Banda Islands, hasIsland, Banda Neira]
  • A. Banda Neira chosen
    Banda Neira is a small volcanic island in Indonesia’s Maluku province, historically significant as part of the Spice Islands and later used by the Dutch as a remote place of political exile.
  • B. Banda-Linda
    Banda-Linda is a dialect of the Central Banda language spoken by the Banda people in parts of Central Africa, particularly in the Central African Republic.
  • C. Banda
    Banda is a city in the Bundelkhand region of Uttar Pradesh, India, known for its historical significance and proximity to the Ken River.
  • D. De Barra
    De Barra is a variant form of the name Barra, typically used as a surname or family name in Irish and Scottish contexts.
  • E. Pacasmayo
    Pacasmayo is a coastal city in northern Peru known for its long pier, surfing beaches, and colonial-era architecture.
  • 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_69c69f2f80288190b95cceb4da92ab2b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f91c717881909c88901cc3b101c7 completed March 27, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c856e0c23481908fc59ecc318840ba completed March 28, 2026, 10:32 p.m.
Created at: March 27, 2026, 3:50 p.m.