Triple

T12739903
Position Surface form Disambiguated ID Type / Status
Subject Scioa E304461 entity
Predicate borders P224 FINISHED
Object Wollo E455093 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: Wollo | Statement: [Scioa, borders, Wollo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wollo
Context triple: [Scioa, borders, Wollo]
  • A. Wollo chosen
    Wollo is a historic region in northern Ethiopia known for its cultural diversity, Islamic and Christian heritage, and significant role in the history of the Amhara people.
  • B. Unzaga
    Unzaga is a Spanish surname historically associated with families of Basque origin and notable figures in Spain and Latin America.
  • C. Gambela
    Gambela is a town in western Ethiopia located near the Baro River, known as a trading center and gateway to the Gambela Region bordering South Sudan.
  • D. Phortse
    Phortse is a traditional Sherpa village in Nepal’s Khumbu region, known as a quieter alternative stop on the Everest trekking routes and for its mountaineering heritage.
  • E. Adowa
    Adowa is a traditional Akan dance from Ghana, often performed at social and ceremonial occasions with expressive movements and drum-based music.
  • 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_69d7bdf1426c8190a4402e1c4cdec33a completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9646dfc908190bc398935d1d23537 completed April 10, 2026, 8:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c8ff57c8190a935b5c9f4bb5aa3 completed May 2, 2026, 10:37 p.m.
Created at: April 9, 2026, 5:26 p.m.