Triple
T14110334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marcory |
E339617
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object |
Koumassi
Koumassi is a populous urban commune and district of Abidjan in Côte d'Ivoire, known for its dense residential neighborhoods and commercial activity.
|
E1079543
|
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: Koumassi | Statement: [Marcory, adjacentTo, Koumassi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Koumassi Context triple: [Marcory, adjacentTo, Koumassi]
-
A.
Fougamou
Fougamou is a small town in southwestern Gabon that serves as an administrative and transport hub in Ngounié Province.
-
B.
Ekondo-Titi
Ekondo-Titi is a coastal town and commune in Cameroon's Southwest Region, known for its agricultural activities and location near the Ndian River and the Atlantic coast.
-
C.
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.
-
D.
Benina
Benina is a town in eastern Libya that serves as the main gateway to the nearby city of Benghazi through its international airport.
-
E.
Ebolowa
Ebolowa is a city in southern Cameroon that serves as an administrative and commercial center for the surrounding agricultural region.
- 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: Koumassi Triple: [Marcory, adjacentTo, Koumassi]
Generated description
Koumassi is a populous urban commune and district of Abidjan in Côte d'Ivoire, known for its dense residential neighborhoods and commercial activity.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Koumassi Target entity description: Koumassi is a populous urban commune and district of Abidjan in Côte d'Ivoire, known for its dense residential neighborhoods and commercial activity.
-
A.
Fougamou
Fougamou is a small town in southwestern Gabon that serves as an administrative and transport hub in Ngounié Province.
-
B.
Ekondo-Titi
Ekondo-Titi is a coastal town and commune in Cameroon's Southwest Region, known for its agricultural activities and location near the Ndian River and the Atlantic coast.
-
C.
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.
-
D.
Benina
Benina is a town in eastern Libya that serves as the main gateway to the nearby city of Benghazi through its international airport.
-
E.
Ebolowa
Ebolowa is a city in southern Cameroon that serves as an administrative and commercial center for the surrounding agricultural region.
- 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_69de600e6a688190a1243a30ae9b7157 |
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.