Triple

T12154944
Position Surface form Disambiguated ID Type / Status
Subject Sokoto Jihad E289549 entity
Predicate opponent P437 FINISHED
Object Gobir E289550 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: Gobir | Statement: [Sokoto Jihad, opponent, Gobir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gobir
Context triple: [Sokoto Jihad, opponent, Gobir]
  • A. Gobir chosen
    Gobir was a prominent Hausa city-state and sultanate in what is now northern Nigeria, known for its power and influence before being conquered during the early 19th-century Fulani Jihad.
  • B. Zogoiby
    Zogoiby is the surname of Aurora Zogoiby, a character from Salman Rushdie’s novel "The Moor’s Last Sigh."
  • C. Eromba
    Eromba is a traditional Meitei dish from Manipur, typically made by boiling and mashing vegetables with fermented fish and chili to create a spicy, flavorful preparation.
  • D. Gebal
    Gebal is the ancient name of the Phoenician coastal city later known as Byblos, one of the oldest continuously inhabited cities in the world.
  • E. Galbuli
    Galbuli is a suborder of birds that includes barbets and toucans, characterized by their stout bills and predominantly tropical distribution.
  • 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915bf615c8190ad5f8ae8665678dc completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a80aa6881908111cc47b5fe8b9e completed May 2, 2026, 2:30 p.m.
Created at: April 8, 2026, 9:50 p.m.