Triple

T684757
Position Surface form Disambiguated ID Type / Status
Subject Aldabrachelys E13259 entity
Predicate geographicDistribution P2178 FINISHED
Object Seychelles region 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 region | Statement: [Aldabrachelys, geographicDistribution, Seychelles region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seychelles region
Context triple: [Aldabrachelys, geographicDistribution, Seychelles region]
  • 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. Madagascar
    Madagascar is a large island nation in the Indian Ocean renowned for its unique biodiversity and high rate of endemic species.
  • D. Réunion
    Réunion is a French island and overseas department in the Indian Ocean known for its volcanic landscapes, multicultural population, and status as an outermost region of the European Union.
  • E. 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.
  • 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_69a4933e0f98819097d22766c49b61b8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a0725c708190aa6edfee742ca4e6 completed March 1, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5c3a743c08190be4db12e2ed39ffb completed March 2, 2026, 5:06 p.m.
Created at: March 1, 2026, 7:36 p.m.