Triple

T6106154
Position Surface form Disambiguated ID Type / Status
Subject South Region E136121 entity
Predicate containsTown P847 FINISHED
Object Oveng
Oveng is a town located in Cameroon's South Region.
E568537 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: Oveng | Statement: [South Region, containsTown, Oveng]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oveng
Context triple: [South Region, containsTown, Oveng]
  • A. Ossi
    Ossi is a small town in the Sardinian region of Gallura in Italy, known for its traditional rural character and proximity to important archaeological sites.
  • B. Griller
    Griller is an EP by the punk rock band The Frustrators, known for its energetic, humorous take on pop-punk.
  • C. Ommen
    Ommen is a small historic town and municipality in the Dutch province of Overijssel, known for its scenic river landscapes and tourism.
  • D. Blodgett
    Blodgett is a surname of English origin borne by various notable individuals across fields such as politics, business, and the arts.
  • E. Oker
    The Oker is a river in central Germany that flows northward from the Harz Mountains through Lower Saxony before joining the Aller.
  • 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: Oveng
Triple: [South Region, containsTown, Oveng]
Generated description
Oveng is a town located in Cameroon's South Region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Oveng
Target entity description: Oveng is a town located in Cameroon's South Region.
  • A. Ossi
    Ossi is a small town in the Sardinian region of Gallura in Italy, known for its traditional rural character and proximity to important archaeological sites.
  • B. Griller
    Griller is an EP by the punk rock band The Frustrators, known for its energetic, humorous take on pop-punk.
  • C. Ommen
    Ommen is a small historic town and municipality in the Dutch province of Overijssel, known for its scenic river landscapes and tourism.
  • D. Blodgett
    Blodgett is a surname of English origin borne by various notable individuals across fields such as politics, business, and the arts.
  • E. Oker
    The Oker is a river in central Germany that flows northward from the Harz Mountains through Lower Saxony before joining the Aller.
  • 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.