Triple

T14474260
Position Surface form Disambiguated ID Type / Status
Subject Albert Market E358927 entity
Predicate locatedIn P40 FINISHED
Object Banjul Region E358921 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: Banjul Region | Statement: [Albert Market, locatedIn, Banjul Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Banjul Region
Context triple: [Albert Market, locatedIn, Banjul Region]
  • A. Banjul Division chosen
    Banjul Division is an administrative region in The Gambia that encompasses the capital city, Banjul, and its surrounding area.
  • B. Borgu region
    The Borgu region is a historical area in West Africa, spanning parts of present-day Nigeria and Benin, known for its distinct Borgu kingdoms and cultural traditions.
  • C. Bissau Region
    Bissau Region is an administrative region of Guinea-Bissau that includes the national capital city, Bissau.
  • D. Kaolack Region
    Kaolack Region is an administrative region in central-western Senegal, centered on the city of Kaolack and historically associated with the Saloum area.
  • E. Kara Region
    Kara Region is an administrative region in northern Togo known for its diverse ethnic groups, including Nawdm speakers, and its role as an important agricultural and cultural center.
  • 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_69d827966698819082e140837737501d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91fc1fc48190842b09aa03ba79f8 completed April 14, 2026, 7:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd649e103c81908001b45c16d1fd79 completed May 8, 2026, 4:20 a.m.
Created at: April 10, 2026, 1:20 a.m.