Triple

T725568
Position Surface form Disambiguated ID Type / Status
Subject Barbeyaceae E14717 entity
Predicate distribution P1356 FINISHED
Object Somalia E11293 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: Somalia | Statement: [Barbeyaceae, distribution, Somalia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Somalia
Context triple: [Barbeyaceae, distribution, Somalia]
  • A. Somalia chosen
    Somalia is a country in the Horn of Africa known for its long coastline along the Indian Ocean, predominantly arid climate, and complex modern history marked by civil conflict and efforts at state reconstruction.
  • B. Somaliland
    Somaliland is a self-declared, internationally unrecognized republic in the Horn of Africa that operates as a de facto independent state separate from Somalia.
  • C. Puntland
    Puntland is an autonomous region in northeastern Somalia known for its relative stability, semi-independent governance, and strategic location along the Horn of Africa.
  • D. Djibouti
    Djibouti is a small Horn of Africa nation on the Red Sea and Gulf of Aden, known for its strategic maritime location, diverse ethnic makeup, and role as a hub for foreign military bases.
  • E. Yemen
    Yemen is a country on the southern tip of the Arabian Peninsula, known for its ancient history, strategic Red Sea coastline, and ongoing complex humanitarian and political crises.
  • 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_69a4934c753c81909b309027e48b9b3a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a5a7fb7c819096db848fe2ba246a completed March 1, 2026, 8:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac2a06c99881908c4f44b6bf91db1c completed March 7, 2026, 1:37 p.m.
Created at: March 1, 2026, 7:37 p.m.