Triple

T12078168
Position Surface form Disambiguated ID Type / Status
Subject Castaway (1986 film) E287604 entity
Predicate countryOfFilming P21831 FINISHED
Object 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: Seychelles | Statement: [Castaway (1986 film), countryOfFilming, Seychelles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seychelles
Context triple: [Castaway (1986 film), countryOfFilming, 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. Mauricius
    Mauricius is a Latin given name of Roman origin that later evolved into various European forms such as Maurice and Morris.
  • C. Mauritius
    Mauritius is an island nation in the Indian Ocean known for its multicultural society, stable democracy, and tourism-driven economy.
  • D. Comoros
    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.
  • E. 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.
  • 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_69d6ab4846e081908ee7bbd66a6d3459 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9045e81f88190be2b1aabd93f077c completed April 10, 2026, 2:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a6b2d788190975275d713c26a4e completed May 2, 2026, 2:30 p.m.
Created at: April 8, 2026, 9:48 p.m.