Triple

T23360641
Position Surface form Disambiguated ID Type / Status
Subject Oku E593172 entity
Predicate borders P224 FINISHED
Object Babessi
Babessi is a town and commune in Cameroon’s Northwest Region, known as part of the Ndop Plain and for its predominantly agrarian communities.
 E1582678 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: Babessi | Statement: [Oku, borders, Babessi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Babessi
Context triple: [Oku, borders, Babessi]
  • A. Babun
    Babun is a central character from the Sri Lankan novel and film "Beddegama" ("The Village in the Jungle"), representing the struggles of rural villagers under colonial-era hardship and injustice.
  • B. Baniata
    Baniata is an Oceanic language of the Meso-Melanesian group spoken in the Solomon Islands.
  • C. Ebebiyín
    Ebebiyín is a town in northeastern Equatorial Guinea, near the borders with Cameroon and Gabon, known as an important regional and commercial center.
  • D. Bisha
    Bisha is a major inland city in southwestern Saudi Arabia known for its agricultural production and strategic location within the Asir region.
  • E. Bebiankh
    Bebiankh was a relatively obscure pharaoh who ruled during Egypt’s fragmented Second Intermediate Period, associated with the Theban-based Sixteenth Dynasty.
  • 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: Babessi
Triple: [Oku, borders, Babessi]
Generated description
Babessi is a town and commune in Cameroon’s Northwest Region, known as part of the Ndop Plain and for its predominantly agrarian communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Babessi
Target entity description: Babessi is a town and commune in Cameroon’s Northwest Region, known as part of the Ndop Plain and for its predominantly agrarian communities.
  • A. Babun
    Babun is a central character from the Sri Lankan novel and film "Beddegama" ("The Village in the Jungle"), representing the struggles of rural villagers under colonial-era hardship and injustice.
  • B. Baniata
    Baniata is an Oceanic language of the Meso-Melanesian group spoken in the Solomon Islands.
  • C. Ebebiyín
    Ebebiyín is a town in northeastern Equatorial Guinea, near the borders with Cameroon and Gabon, known as an important regional and commercial center.
  • D. Bisha
    Bisha is a major inland city in southwestern Saudi Arabia known for its agricultural production and strategic location within the Asir region.
  • E. Bebiankh
    Bebiankh was a relatively obscure pharaoh who ruled during Egypt’s fragmented Second Intermediate Period, associated with the Theban-based Sixteenth Dynasty.
  • 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_69e25d24d2a4819092e6ede74c2a918d completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a0a730f8819088fec53a43b063f8 completed April 29, 2026, 6:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c5dd385948190940cf5b878e54002 completed May 19, 2026, 12:55 p.m.
NEDg Description generation batch_6a0c5fa0ae848190a23b0c8c16345c26 completed May 19, 2026, 1:03 p.m.
NED2 Entity disambiguation (via description) batch_6a0c604cc84c8190946e2a35e0f736ce completed May 19, 2026, 1:06 p.m.
Created at: April 17, 2026, 5:30 p.m.