Triple

T9849447
Position Surface form Disambiguated ID Type / Status
Subject Agadir Oufella (Kasbah) E239426 entity
Predicate nearbyCity P350 FINISHED
Object Inezgane E239429 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: Inezgane | Statement: [Agadir Oufella (Kasbah), nearbyCity, Inezgane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Inezgane
Context triple: [Agadir Oufella (Kasbah), nearbyCity, Inezgane]
  • A. Inezgane chosen
    Inezgane is a town in southwestern Morocco known as a major transport hub and commercial center just inland from the coastal city of Agadir.
  • B. Makaziwe
    Makaziwe is a South African academic and businesswoman best known as the daughter of Nelson Mandela.
  • C. Tazzelenghe
    Tazzelenghe is a rare, intensely tannic red wine grape native to Italy’s Friuli region, known for producing deeply colored, robust wines with pronounced acidity and dark fruit flavors.
  • D. Mutengene
    Mutengene is a town in southwestern Cameroon known as a key road junction linking the coastal city of Limbe with Buea and other inland areas.
  • E. Dinuzulu
    Dinuzulu was a late 19th- and early 20th-century Zulu king known for his resistance to British colonial rule in what is now South Africa.
  • 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_69ca84e4fdc08190a624425bcef98665 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb371894c8190971ba497a2801521 completed April 2, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5ea5eac8190af7fad00a6398c5e completed April 5, 2026, 3:24 a.m.
Created at: March 30, 2026, 8:34 p.m.