Triple

T11767428
Position Surface form Disambiguated ID Type / Status
Subject Crown of Spain E279815 entity
Predicate hasPart P35 FINISHED
Object Spanish Seychelles E29088 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: Spanish Seychelles | Statement: [Crown of Spain, hasPart, Spanish Seychelles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spanish Seychelles
Context triple: [Crown of Spain, hasPart, Spanish Seychelles]
  • A. Seychelles chosen
    Seychelles is an Indian Ocean island nation off the coast of East Africa, known for its tropical beaches, coral reefs, and unique biodiversity.
  • B. Mauritius
    Mauritius is an island nation in the Indian Ocean known for its multicultural society, stable democracy, and tourism-driven economy.
  • C. Seychelles archipelago
    The Seychelles archipelago is a group of Indian Ocean islands off the coast of East Africa, renowned for its pristine beaches, unique granite and coral islands, and rich biodiversity.
  • D. Mauricius
    Mauricius is a Latin given name of Roman origin that later evolved into various European forms such as Maurice and Morris.
  • E. French Mauritius
    French Mauritius was the period of French colonial rule over the island of Mauritius, during which it became an important strategic and trading hub in the Indian Ocean.
  • 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_69d6ab01d2688190ad8ed6bda487eaa5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a526979c8190ad2089997906855b completed April 10, 2026, 7:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69f09063bdcc819089211d6246041416 completed April 28, 2026, 10:48 a.m.
Created at: April 8, 2026, 9:41 p.m.