Triple

T6106153
Position Surface form Disambiguated ID Type / Status
Subject South Region E136121 entity
Predicate containsTown P847 FINISHED
Object Djoum
Djoum is a small town in southern Cameroon known as a local administrative and trading center within the country's South Region.
 E568536 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: Djoum | Statement: [South Region, containsTown, Djoum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Djoum
Context triple: [South Region, containsTown, Djoum]
  • A. Butrus
    Butrus is an alternative transliteration of the Arabic given name "Boutros," itself derived from "Peter."
  • B. Bawshar
    Bawshar is a district in Muscat, Oman, known as a major urban area that includes important landmarks, commercial centers, and residential neighborhoods.
  • C. Sahnun
    Sahnun was a prominent 9th-century Islamic jurist from North Africa whose compilation of legal opinions, the Mudawwana, became a foundational text of the Maliki school of Sunni jurisprudence.
  • D. Belhamed
    Belhamed is a locality in Libya that was the site of significant fighting during World War II’s North African campaign.
  • E. Lakhdar
    Lakhdar is an Arabic masculine given name most notably borne by Algerian diplomat Lakhdar Brahimi.
  • 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: Djoum
Triple: [South Region, containsTown, Djoum]
Generated description
Djoum is a small town in southern Cameroon known as a local administrative and trading center within the country's South Region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Djoum
Target entity description: Djoum is a small town in southern Cameroon known as a local administrative and trading center within the country's South Region.
  • A. Butrus
    Butrus is an alternative transliteration of the Arabic given name "Boutros," itself derived from "Peter."
  • B. Bawshar
    Bawshar is a district in Muscat, Oman, known as a major urban area that includes important landmarks, commercial centers, and residential neighborhoods.
  • C. Sahnun
    Sahnun was a prominent 9th-century Islamic jurist from North Africa whose compilation of legal opinions, the Mudawwana, became a foundational text of the Maliki school of Sunni jurisprudence.
  • D. Belhamed
    Belhamed is a locality in Libya that was the site of significant fighting during World War II’s North African campaign.
  • E. Lakhdar
    Lakhdar is an Arabic masculine given name most notably borne by Algerian diplomat Lakhdar Brahimi.
  • 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_69c0087dee9881909e3655be88208c01 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05b806bd48190b6f020af3391adb8 completed March 22, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1255759f48190a6aadf33406dcb49 completed March 23, 2026, 11:34 a.m.
NEDg Description generation batch_69c1275910108190a0a5f458a468c292 completed March 23, 2026, 11:43 a.m.
NED2 Entity disambiguation (via description) batch_69c127b831d081909436a62e002d1fa5 completed March 23, 2026, 11:44 a.m.
Created at: March 22, 2026, 4:13 p.m.