Triple

T21070942
Position Surface form Disambiguated ID Type / Status
Subject Laurent Gbagbo E519104 entity
Predicate placeOfBirth P1 FINISHED
Object Gagnoa
Gagnoa is a city in south-central Côte d'Ivoire known as a regional administrative center and the birthplace of former Ivorian president Laurent Gbagbo.
 E1465990 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: Gagnoa | Statement: [Laurent Gbagbo, placeOfBirth, Gagnoa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gagnoa
Context triple: [Laurent Gbagbo, placeOfBirth, Gagnoa]
  • A. Bongouanou
    Bongouanou is a Central Tano language spoken in parts of West Africa, likely associated with communities in and around the town of Bongouanou in Côte d'Ivoire.
  • B. 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.
  • C. Baoulé
    Baoulé is a Kwa language of the Niger-Congo family spoken primarily by the Baoulé people in central Côte d'Ivoire.
  • D. Fougamou
    Fougamou is a small town in southwestern Gabon that serves as an administrative and transport hub in Ngounié Province.
  • E. Tivaouane
    Tivaouane is a prominent Senegalese city renowned as a major religious and cultural hub of the Tijaniyya Sufi order.
  • 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: Gagnoa
Triple: [Laurent Gbagbo, placeOfBirth, Gagnoa]
Generated description
Gagnoa is a city in south-central Côte d'Ivoire known as a regional administrative center and the birthplace of former Ivorian president Laurent Gbagbo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gagnoa
Target entity description: Gagnoa is a city in south-central Côte d'Ivoire known as a regional administrative center and the birthplace of former Ivorian president Laurent Gbagbo.
  • A. Bongouanou
    Bongouanou is a Central Tano language spoken in parts of West Africa, likely associated with communities in and around the town of Bongouanou in Côte d'Ivoire.
  • B. 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.
  • C. Baoulé
    Baoulé is a Kwa language of the Niger-Congo family spoken primarily by the Baoulé people in central Côte d'Ivoire.
  • D. Fougamou
    Fougamou is a small town in southwestern Gabon that serves as an administrative and transport hub in Ngounié Province.
  • E. Tivaouane
    Tivaouane is a prominent Senegalese city renowned as a major religious and cultural hub of the Tijaniyya Sufi order.
  • 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_69e0b505ef108190b25dd4033e2ff7eb completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6feb8ed4481909c9f804ccd8da3e2 completed April 21, 2026, 4:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a095a4f9aa48190ab252a7101826c04 completed May 17, 2026, 6:03 a.m.
NEDg Description generation batch_6a095c3c2b6881908e59ac4694b961db completed May 17, 2026, 6:12 a.m.
NED2 Entity disambiguation (via description) batch_6a095c94bad881909a0308fa92f65c68 completed May 17, 2026, 6:13 a.m.
Created at: April 16, 2026, 2:46 p.m.