Triple

T11086365
Position Surface form Disambiguated ID Type / Status
Subject Bahr el Ghazal E262129 entity
Predicate regionCapital P16248 FINISHED
Object Wau
Wau is a major city in northwestern South Sudan that serves as an important administrative, commercial, and transport hub.
 E904022 NE FINISHED

How this triple was built (4 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: Wau | Statement: [Bahr el Ghazal, regionCapital, Wau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wau
Context triple: [Bahr el Ghazal, regionCapital, Wau]
  • A. Wau
    Wau is a town in Papua New Guinea historically notable as the site of a significant World War II battle between Allied and Japanese forces.
  • B. Wana
    Wana is a town in Pakistan’s Khyber Pakhtunkhwa province that serves as a key administrative and commercial center in the South Waziristan region.
  • C. Ouakam
    Ouakam is a coastal district of Dakar, Senegal, known for its historic fishing community, military installations, and prominent location beneath the African Renaissance Monument.
  • D. Waiyana
    Waiyana is an alternative name for the Wayana language, an indigenous Cariban language spoken by the Wayana people in parts of Brazil, Suriname, and French Guiana.
  • E. Wabun
    Wabun is a small rural community located within the township of Greater Madawaska in eastern Ontario, Canada.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Wau
Triple: [Bahr el Ghazal, regionCapital, Wau]
Generated description
Wau is a major city in northwestern South Sudan that serves as an important administrative, commercial, and transport hub.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wau
Target entity description: Wau is a major city in northwestern South Sudan that serves as an important administrative, commercial, and transport hub.
  • A. Wau
    Wau is a town in Papua New Guinea historically notable as the site of a significant World War II battle between Allied and Japanese forces.
  • B. Wana
    Wana is a town in Pakistan’s Khyber Pakhtunkhwa province that serves as a key administrative and commercial center in the South Waziristan region.
  • C. Ouakam
    Ouakam is a coastal district of Dakar, Senegal, known for its historic fishing community, military installations, and prominent location beneath the African Renaissance Monument.
  • D. Waiyana
    Waiyana is an alternative name for the Wayana language, an indigenous Cariban language spoken by the Wayana people in parts of Brazil, Suriname, and French Guiana.
  • E. Wabun
    Wabun is a small rural community located within the township of Greater Madawaska in eastern Ontario, Canada.
  • F. None of above. chosen

Provenance (5 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_69d6aa9983c08190b0ef61603b69feac completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d799c3ed9c8190a3f5cdf1fe0e74a2 completed April 9, 2026, 12:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3e7a6dfa8819096f822294eb64dd1 completed April 18, 2026, 8:20 p.m.
NEDg Description generation batch_69e3f2cafc008190a3504999297f1e4e completed April 18, 2026, 9:08 p.m.
NED2 Entity disambiguation (via description) batch_69e3f488819081908f9a4225279cde6b completed April 18, 2026, 9:15 p.m.
Created at: April 8, 2026, 9:27 p.m.