Triple

T23257191
Position Surface form Disambiguated ID Type / Status
Subject Bo District E581904 entity
Predicate hasSettlement P1068 FINISHED
Object Baoma
Baoma is a town located within Bo District in the Southern Province of Sierra Leone.
 E1577074 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: Baoma | Statement: [Bo District, hasSettlement, Baoma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Baoma
Context triple: [Bo District, hasSettlement, Baoma]
  • A. Zongtang
    Zongtang is the given name of Zuo Zongtang, a prominent 19th-century Qing dynasty statesman and military leader known in the West as General Tso.
  • B. Wanqiu
    Wanqiu was an ancient Chinese city that served as the political and administrative center of the State of Chen during the Zhou dynasty period.
  • C. Alpa Chino
    Alpa Chino is a fictional rapper-turned-actor character in the satirical war film "Tropic Thunder," known for his commercialized hip-hop persona and humorous product endorsements.
  • D. Renhuai
    Renhuai is a county-level city in Guizhou Province, China, best known as the production center of the famous Moutai baijiu.
  • E. Daliang
    Daliang was the principal city and political center of the ancient Chinese State of Wei during the Warring States period.
  • 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: Baoma
Triple: [Bo District, hasSettlement, Baoma]
Generated description
Baoma is a town located within Bo District in the Southern Province of Sierra Leone.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Baoma
Target entity description: Baoma is a town located within Bo District in the Southern Province of Sierra Leone.
  • A. Zongtang
    Zongtang is the given name of Zuo Zongtang, a prominent 19th-century Qing dynasty statesman and military leader known in the West as General Tso.
  • B. Wanqiu
    Wanqiu was an ancient Chinese city that served as the political and administrative center of the State of Chen during the Zhou dynasty period.
  • C. Alpa Chino
    Alpa Chino is a fictional rapper-turned-actor character in the satirical war film "Tropic Thunder," known for his commercialized hip-hop persona and humorous product endorsements.
  • D. Renhuai
    Renhuai is a county-level city in Guizhou Province, China, best known as the production center of the famous Moutai baijiu.
  • E. Daliang
    Daliang was the principal city and political center of the ancient Chinese State of Wei during the Warring States period.
  • 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_69e246079f58819085eaa9c260906880 completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f194c5f5bc8190ac8776f7f7430209 completed April 29, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c3f6be3ec8190be316ae03c3b3729 completed May 19, 2026, 10:46 a.m.
NEDg Description generation batch_6a0c40297d3c8190b366b60cec3dbbf8 completed May 19, 2026, 10:49 a.m.
NED2 Entity disambiguation (via description) batch_6a0c40ffd67481908931ffc2d91fb02b completed May 19, 2026, 10:52 a.m.
Created at: April 17, 2026, 4:11 p.m.