Triple

T19576628
Position Surface form Disambiguated ID Type / Status
Subject Chtouka Aït Baha Province E489872 entity
Predicate capital P234 FINISHED
Object Biougra 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: Biougra | Statement: [Chtouka Aït Baha Province, capital, Biougra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Biougra
Context triple: [Chtouka Aït Baha Province, capital, Biougra]
  • A. Biougra chosen
    Biougra is a town in southwestern Morocco located within the Souss-Massa region, known for its agricultural activity and proximity to Agadir.
  • B. Yura
    Yura is a common Slavic diminutive form of the male given name Yuri (or Yuriy), often used as a familiar or affectionate nickname.
  • C. Ivilyuat
    Ivilyuat is the endonym used by the Cahuilla people for their native Uto-Aztecan language traditionally spoken in Southern California.
  • D. Tanasi
    Tanasi was a historic Overhill Cherokee town in present-day Tennessee that gave the state its name and served as an early political center for the Cherokee.
  • E. Sibir
    Sibir is a professional ice hockey team based in Novosibirsk, Russia, competing in the Kontinental Hockey League (KHL).
  • 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_69d8e8dd9374819098e36349b3211663 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e64024c5b08190bbff6df633857874 completed April 20, 2026, 3:03 p.m.
Created at: April 10, 2026, 1:42 p.m.