Triple

T5399938
Position Surface form Disambiguated ID Type / Status
Subject SheiKra E120746 entity
Predicate parkSection P5641 FINISHED
Object Stanleyville E448349 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: Stanleyville | Statement: [SheiKra, parkSection, Stanleyville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stanleyville
Context triple: [SheiKra, parkSection, Stanleyville]
  • A. Rufisque
    Rufisque is a coastal city in western Senegal that developed as an important Atlantic trading port and now forms part of the Dakar metropolitan area.
  • B. Bhamo
    Bhamo is a town in northern Myanmar situated on the Ayeyarwady River, historically important as a trading hub near the Chinese border.
  • C. Boma
    Boma is a buffet-style African-inspired restaurant at Disney’s Animal Kingdom Lodge known for its diverse flavors and vibrant, marketplace-like atmosphere.
  • D. Boma chosen
    Boma is a historic port city on the Congo River in present-day Democratic Republic of the Congo that served as a major colonial administrative and trading center.
  • E. Butembo
    Butembo is a major commercial city in eastern Democratic Republic of the Congo, known as a trading hub and economic center in North Kivu.
  • 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_69bd4637b92c8190b815b6443ae4b323 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd8770809c8190bb387ef04ffa794c completed March 20, 2026, 5:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3383b360819087447e6813c45edf completed March 22, 2026, 12:10 a.m.
Created at: March 20, 2026, 2:04 p.m.