Triple

T14110106
Position Surface form Disambiguated ID Type / Status
Subject Ébrié Lagoon E339612 entity
Predicate borders P224 FINISHED
Object Dabou
Dabou is a coastal town in southern Ivory Coast known for its proximity to Abidjan and its location near the Ébrié Lagoon.
 E1079531 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: Dabou | Statement: [Ébrié Lagoon, borders, Dabou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dabou
Context triple: [Ébrié Lagoon, borders, Dabou]
  • A. Ambouli
    Ambouli is a district of Djibouti City that hosts the country’s main international airport and related urban infrastructure.
  • B. Koulamoutou
    Koulamoutou is a town in central Gabon that serves as an administrative and economic hub for the surrounding region.
  • C. Abobo
    Abobo is a town in western Ethiopia that serves as one of the main urban centers of the Gambela Region.
  • D. 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.
  • E. Duékoué
    Duékoué is a town in western Côte d'Ivoire that became notorious as a major site of violence and massacres during the country's civil conflicts.
  • 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: Dabou
Triple: [Ébrié Lagoon, borders, Dabou]
Generated description
Dabou is a coastal town in southern Ivory Coast known for its proximity to Abidjan and its location near the Ébrié Lagoon.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dabou
Target entity description: Dabou is a coastal town in southern Ivory Coast known for its proximity to Abidjan and its location near the Ébrié Lagoon.
  • A. Ambouli
    Ambouli is a district of Djibouti City that hosts the country’s main international airport and related urban infrastructure.
  • B. Koulamoutou
    Koulamoutou is a town in central Gabon that serves as an administrative and economic hub for the surrounding region.
  • C. Abobo
    Abobo is a town in western Ethiopia that serves as one of the main urban centers of the Gambela Region.
  • D. 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.
  • E. Duékoué
    Duékoué is a town in western Côte d'Ivoire that became notorious as a major site of violence and massacres during the country's civil conflicts.
  • 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de600caf308190ab6d8451ed4e3797 completed April 14, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0b699108190993f1102418ecff1 completed May 7, 2026, 5:49 p.m.
NEDg Description generation batch_69fcd2d99c4c8190baf15d470ead7b1c completed May 7, 2026, 5:58 p.m.
NED2 Entity disambiguation (via description) batch_69fcd3853e848190a210d1c8c08bd6cc completed May 7, 2026, 6:01 p.m.
Created at: April 9, 2026, 10:22 p.m.