Triple

T17548846
Position Surface form Disambiguated ID Type / Status
Subject Baraawe E427400 entity
Predicate historicalRegion P915 FINISHED
Object Benadir NE NERFINISHED

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: Benadir | Statement: [Baraawe, historicalRegion, Benadir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Benadir
Context triple: [Baraawe, historicalRegion, Benadir]
  • A. Benadir chosen
    Benadir is a coastal region in southeastern Somalia centered around the capital city Mogadishu, historically known as an important hub of Indian Ocean trade and Islamic culture.
  • B. Samaale
    Samaale is regarded in Somali tradition as the common forefather of several major Somali clans, including the Hawiye.
  • C. Bukh
    Bukh is the traditional national style of Mongolian wrestling, known for its strength-focused grappling and deep cultural significance in Mongolia.
  • D. Samerina
    Samerina was an Assyrian provincial center established in the former kingdom of Israel after its conquest in the 8th century BCE.
  • E. Anseba
    Anseba is a central region of Eritrea known for its diverse ethnic communities, agriculture, and the regional capital Keren.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889df6dc081908f67dbadc03c07ee completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e454631e148190a1d46a6ecb79c71a completed April 19, 2026, 4:04 a.m.
Created at: April 10, 2026, 5:49 a.m.