Triple

T19156906
Position Surface form Disambiguated ID Type / Status
Subject Équateur Province E468948 entity
Predicate hasCity P316 FINISHED
Object Lisala 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: Lisala | Statement: [Équateur Province, hasCity, Lisala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lisala
Context triple: [Équateur Province, hasCity, Lisala]
  • A. Lisala chosen
    Lisala is a town in northwestern Democratic Republic of the Congo, situated on the Congo River and serving as the capital of Mongala Province.
  • B. Xola
    Xola is a Mexico City Metro station on Line 2 that serves the southern part of the city near the Calzada de Tlalpan corridor.
  • C. Sissala
    Sissala are an ethnic group of northwestern Ghana, known for their distinct Gur language, agrarian lifestyle, and rich musical and oral traditions.
  • D. Lusambo
    Lusambo is a town in the Democratic Republic of the Congo that once served as an important colonial and regional administrative center in the Kasai area.
  • E. Lefua
    Lefua is a genus of small freshwater loaches native to East Asia, known for inhabiting cool, clear streams and belonging to the stone loach family.
  • 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_69d8dd084ff48190ac0f8c46ee722629 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5eeb9cf9081908b17073755e83554 completed April 20, 2026, 9:15 a.m.
Created at: April 10, 2026, 12:06 p.m.