Triple

T21074840
Position Surface form Disambiguated ID Type / Status
Subject Stanleyville station E519204 entity
Predicate themedAs P20708 FINISHED
Object Stanleyville 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: Stanleyville | Statement: [Stanleyville station, themedAs, Stanleyville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stanleyville
Context triple: [Stanleyville station, themedAs, Stanleyville]
  • A. Stanleyville chosen
    Stanleyville is the former colonial name of Kisangani, a major city in the northeastern Democratic Republic of the Congo located on the Congo River.
  • B. 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.
  • C. Bhamo
    Bhamo is a town in northern Myanmar situated on the Ayeyarwady River, historically important as a trading hub near the Chinese border.
  • D. Kibombo
    Kibombo is a town in the Maniema Province of the Democratic Republic of the Congo, serving as a local administrative and trading center.
  • E. Riyom town
    Riyom town is a settlement in Plateau State, central Nigeria, serving as the local government headquarters and a key community in the Riyom area.
  • 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_69e0b506e59c8190849b71ed07929215 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e702d5ae908190ab5303e39443d729 completed April 21, 2026, 4:53 a.m.
Created at: April 16, 2026, 2:48 p.m.