Triple

T12099092
Position Surface form Disambiguated ID Type / Status
Subject Air Peace E288144 entity
Predicate cityServed P82 FINISHED
Object Sokoto E66570 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: Sokoto | Statement: [Air Peace, cityServed, Sokoto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sokoto
Context triple: [Air Peace, cityServed, Sokoto]
  • A. Sokoto chosen
    Sokoto is a historic city in northwestern Nigeria that served as the capital of the Sokoto Caliphate and remains an important cultural and Islamic scholarly center.
  • B. Kano
    Kano is a major commercial and industrial city in northern Nigeria and one of the country’s oldest urban centers.
  • C. Kano
    Kano is a long-running Mortal Kombat villain known as a ruthless mercenary and leader of the Black Dragon crime syndicate, often depicted with a cybernetic eye and expertise in knives and dirty fighting tactics.
  • D. Dutse
    Dutse is a city in northern Nigeria that serves as the administrative and economic center of Jigawa State.
  • E. Maiduguri
    Maiduguri is a major city in northeastern Nigeria that serves as the capital of Borno State and a key economic and administrative center in the region.
  • 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_69d6ab4964708190850585628b287b0c completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9155465388190bbe52453c9b11912 completed April 10, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e44c50081909041b006943a6b06 completed May 2, 2026, 3:54 p.m.
Created at: April 8, 2026, 9:48 p.m.