Triple

T8252012
Position Surface form Disambiguated ID Type / Status
Subject Amhara Region E192978 entity
Predicate historicalRegionOverlap P13711 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: [Amhara Region, historicalRegionOverlap, Wollo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wollo
Context triple: [Amhara Region, historicalRegionOverlap, 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. Adowa
    Adowa is a traditional Akan dance from Ghana, often performed at social and ceremonial occasions with expressive movements and drum-based music.
  • D. Arogno
    Arogno is a small municipality in the canton of Ticino in southern Switzerland, located near Lake Lugano and the Italian border.
  • E. Belasí
    Belasí is the Slovak nickname for HC Slovan Bratislava, referring to the club’s traditional light blue team color.
  • 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_69ca82dfad9c8190b8cd18fb89f50f40 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb78ca4b0881909bb1fb550dba59e7 completed March 31, 2026, 7:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd3540a0988190b8e48988279403db completed April 1, 2026, 3:09 p.m.
Created at: March 30, 2026, 5:48 p.m.