Triple

T14069198
Position Surface form Disambiguated ID Type / Status
Subject Eparchy of Keren E338556 entity
Predicate seeCity P3207 FINISHED
Object Keren E392868 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: Keren | Statement: [Eparchy of Keren, seeCity, Keren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Keren
Context triple: [Eparchy of Keren, seeCity, Keren]
  • A. Keren chosen
    Keren is a major town in Eritrea known as an important commercial and agricultural center in the Anseba region.
  • B. Keren Rosenberg
    Keren Rosenberg is a film producer known for her work on the adaptation of Amos Oz’s autobiographical novel "A Tale of Love and Darkness."
  • C. Sharona Katan
    Sharona Katan is an Israeli-born visual artist and the wife of Radiohead guitarist and composer Jonny Greenwood.
  • D. Daliah Lavi
    Daliah Lavi was an Israeli actress, singer, and model best known internationally for her roles in 1960s European and Hollywood films, particularly in stylish spy spoofs and adventure movies.
  • E. Gabi Ashkenazi
    Gabi Ashkenazi is an Israeli military leader and politician who served as Chief of the General Staff of the Israel Defense Forces and later as Israel’s Minister of Foreign Affairs.
  • 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_69d81c67ba6c819091935650dfb3b895 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de568d0404819087e0fe37c72162cb completed April 14, 2026, 3 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb66cfe2c8190af8354316d4f4df9 completed May 7, 2026, 3:57 p.m.
Created at: April 9, 2026, 10:21 p.m.