Triple

T15152151
Position Surface form Disambiguated ID Type / Status
Subject Southeastern Africa E361970 entity
Predicate includesPartOf P35 FINISHED
Object Comoros E27107 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: Comoros | Statement: [Southeastern Africa, includesPartOf, Comoros]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Comoros
Context triple: [Southeastern Africa, includesPartOf, Comoros]
  • A. Comoros chosen
    Comoros is an island nation in the Indian Ocean off the eastern coast of Africa, known for its diverse cultural heritage and history as a former French colony.
  • B. Seychelles
    Seychelles is an Indian Ocean island nation off the coast of East Africa, known for its tropical beaches, coral reefs, and unique biodiversity.
  • C. Mauricius
    Mauricius is a Latin given name of Roman origin that later evolved into various European forms such as Maurice and Morris.
  • D. Grande Comore
    Grande Comore is the largest and most populous island of the Comoros archipelago in the Indian Ocean, home to the nation’s capital, Moroni.
  • E. Mauritius
    Mauritius is an island nation in the Indian Ocean known for its multicultural society, stable democracy, and tourism-driven economy.
  • 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_69d85a0759908190b8a051d2e2a1cbe6 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00609040081908c849475a2fa6443 completed April 15, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69fed32637748190b566602b5b37fbd3 completed May 9, 2026, 6:24 a.m.
Created at: April 10, 2026, 3:07 a.m.