Triple

T7007182
Position Surface form Disambiguated ID Type / Status
Subject Simbo language E162485 entity
Predicate spokenIn P2266 FINISHED
Object Simbo Island E555505 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: Simbo Island | Statement: [Simbo language, spokenIn, Simbo Island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Simbo Island
Context triple: [Simbo language, spokenIn, Simbo Island]
  • A. Simbo Island chosen
    Simbo Island is a small volcanic island in the Western Province of the Solomon Islands, known for its local Austronesian languages and traditional Melanesian culture.
  • B. Sapi Island
    Sapi Island is a small tropical island in Sabah, Malaysia, known for its clear waters, coral reefs, and popularity as a snorkeling and day-trip destination from Kota Kinabalu.
  • C. Burung Island
    Burung Island is a small island located off the coast of Labuan in East Malaysia, known for its natural coastal scenery and surrounding marine environment.
  • D. Sadhu Belo Island
    Sadhu Belo Island is a historic Hindu temple complex situated on an island in the Indus River near Sukkur in Sindh, Pakistan.
  • E. Ngemelis Island
    Ngemelis Island is a small island in Palau renowned for its pristine coral reefs and world-class scuba diving sites in the surrounding waters.
  • 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_69c6885928148190ae31909fbb5e9849 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dc35cb848190a839919021efce81 completed March 27, 2026, 7:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c90092f9ac8190a53d65cfdeafca29 completed March 29, 2026, 10:36 a.m.
Created at: March 27, 2026, 2:33 p.m.