Triple

T10668967
Position Surface form Disambiguated ID Type / Status
Subject Ogooué-Lolo Province E251434 entity
Predicate hasCity P316 FINISHED
Object Iboundji
Iboundji is a small town in southeastern Gabon that serves as one of the local centers of administration and community life in Ogooué-Lolo Province.
E880022 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: Iboundji | Statement: [Ogooué-Lolo Province, hasCity, Iboundji]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Iboundji
Context triple: [Ogooué-Lolo Province, hasCity, Iboundji]
  • A. Benina
    Benina is a town in eastern Libya that serves as the main gateway to the nearby city of Benghazi through its international airport.
  • B. Maroua
    Maroua is a prominent city in northern Cameroon known as a regional commercial and cultural center near the Sahel.
  • C. Mbouda
    Mbouda is a significant urban center in western Cameroon known for its role as a commercial and administrative hub in the region.
  • D. Eyamba
    Eyamba is a prominent clan of the Efik people of southeastern Nigeria, historically associated with leadership and influence in the Old Calabar region.
  • E. Mbigou
    Mbigou is a town in southern Gabon known as a local administrative and trading center in Ngounié Province.
  • 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: Iboundji
Triple: [Ogooué-Lolo Province, hasCity, Iboundji]
Generated description
Iboundji is a small town in southeastern Gabon that serves as one of the local centers of administration and community life in Ogooué-Lolo Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Iboundji
Target entity description: Iboundji is a small town in southeastern Gabon that serves as one of the local centers of administration and community life in Ogooué-Lolo Province.
  • A. Benina
    Benina is a town in eastern Libya that serves as the main gateway to the nearby city of Benghazi through its international airport.
  • B. Maroua
    Maroua is a prominent city in northern Cameroon known as a regional commercial and cultural center near the Sahel.
  • C. Mbouda
    Mbouda is a significant urban center in western Cameroon known for its role as a commercial and administrative hub in the region.
  • D. Eyamba
    Eyamba is a prominent clan of the Efik people of southeastern Nigeria, historically associated with leadership and influence in the Old Calabar region.
  • E. Mbigou
    Mbigou is a town in southern Gabon known as a local administrative and trading center in Ngounié Province.
  • 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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6f861513881909b44c711371086b7 completed April 9, 2026, 12:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69d998b77db08190bce5a7ce24dbc085 completed April 11, 2026, 12:41 a.m.
NEDg Description generation batch_69d99e8312188190bec3090f34a7b9b9 completed April 11, 2026, 1:06 a.m.
NED2 Entity disambiguation (via description) batch_69d99f50e0888190b8e7b2547e1526af completed April 11, 2026, 1:09 a.m.
Created at: April 8, 2026, 9:09 p.m.