Triple

T20777797
Position Surface form Disambiguated ID Type / Status
Subject siege of Abidjan E511398 entity
Predicate location P40 FINISHED
Object Abobo
Abobo is a populous northern suburb of Abidjan in Côte d'Ivoire that became a major battleground during the 2010–2011 Ivorian crisis.
 E1450479 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: Abobo | Statement: [siege of Abidjan, location, Abobo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Abobo
Context triple: [siege of Abidjan, location, Abobo]
  • A. Abobo
    Abobo is a town in western Ethiopia that serves as one of the main urban centers of the Gambela Region.
  • B. Abdju
    Abdju is the ancient Egyptian name for Abydos, one of Egypt’s oldest and most sacred cities, renowned as a major cult center of Osiris and a royal burial site.
  • C. N’Guigmi
    N’Guigmi is a town and commune in southeastern Niger, located near Lake Chad and serving as an important local center for trade and transport.
  • D. Dabou
    Dabou is a coastal town in southern Ivory Coast known for its proximity to Abidjan and its location near the Ébrié Lagoon.
  • E. Ambouli
    Ambouli is a district of Djibouti City that hosts the country’s main international airport and related urban infrastructure.
  • 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: Abobo
Triple: [siege of Abidjan, location, Abobo]
Generated description
Abobo is a populous northern suburb of Abidjan in Côte d'Ivoire that became a major battleground during the 2010–2011 Ivorian crisis.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Abobo
Target entity description: Abobo is a populous northern suburb of Abidjan in Côte d'Ivoire that became a major battleground during the 2010–2011 Ivorian crisis.
  • A. Abobo
    Abobo is a town in western Ethiopia that serves as one of the main urban centers of the Gambela Region.
  • B. Abdju
    Abdju is the ancient Egyptian name for Abydos, one of Egypt’s oldest and most sacred cities, renowned as a major cult center of Osiris and a royal burial site.
  • C. N’Guigmi
    N’Guigmi is a town and commune in southeastern Niger, located near Lake Chad and serving as an important local center for trade and transport.
  • D. Dabou
    Dabou is a coastal town in southern Ivory Coast known for its proximity to Abidjan and its location near the Ébrié Lagoon.
  • E. Ambouli
    Ambouli is a district of Djibouti City that hosts the country’s main international airport and related urban infrastructure.
  • 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_69e0b4cac7a48190a715cb3d545df2b4 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c26d34bc81908bb22087d434322d completed April 21, 2026, 12:18 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08ef97b6fc819084beba382b05b813 completed May 16, 2026, 10:28 p.m.
NEDg Description generation batch_6a08f32ecdd48190b38a9119f285a7e9 completed May 16, 2026, 10:43 p.m.
NED2 Entity disambiguation (via description) batch_6a08f3a54f508190a95a951dbb1efc68 completed May 16, 2026, 10:45 p.m.
Created at: April 16, 2026, 12:37 p.m.