Triple
T5992200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East Region (Cameroon) |
E133375
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Batouri
Batouri is a town in eastern Cameroon that serves as an important local administrative and commercial center near the border with the Central African Republic.
|
E566280
|
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: Batouri | Statement: [East Region (Cameroon), containsTown, Batouri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Batouri Context triple: [East Region (Cameroon), containsTown, Batouri]
-
A.
Daloa
Daloa is a major inland city in western Côte d'Ivoire known as an important commercial and agricultural center, particularly for cocoa production.
-
B.
Guéckédou
Guéckédou is a town in southern Guinea known as a regional trading center near the borders with Sierra Leone and Liberia.
-
C.
Korhogo
Korhogo is a major city in northern Côte d'Ivoire that serves as an important cultural and economic center for the Senufo people.
-
D.
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.
-
E.
Bobo-Dioulasso
Bobo-Dioulasso is the second-largest city of Burkina Faso, known as a major economic and cultural center in the country’s southwest.
- 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: Batouri Triple: [East Region (Cameroon), containsTown, Batouri]
Generated description
Batouri is a town in eastern Cameroon that serves as an important local administrative and commercial center near the border with the Central African Republic.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Batouri Target entity description: Batouri is a town in eastern Cameroon that serves as an important local administrative and commercial center near the border with the Central African Republic.
-
A.
Daloa
Daloa is a major inland city in western Côte d'Ivoire known as an important commercial and agricultural center, particularly for cocoa production.
-
B.
Guéckédou
Guéckédou is a town in southern Guinea known as a regional trading center near the borders with Sierra Leone and Liberia.
-
C.
Korhogo
Korhogo is a major city in northern Côte d'Ivoire that serves as an important cultural and economic center for the Senufo people.
-
D.
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.
-
E.
Bobo-Dioulasso
Bobo-Dioulasso is the second-largest city of Burkina Faso, known as a major economic and cultural center in the country’s southwest.
- 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_69c0087010d081908bb8142342d63330 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04e8fd030819095a4f3b3d425ec21 |
completed | March 22, 2026, 8:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11cd900a48190b5aa83c28b3dfc1a |
completed | March 23, 2026, 10:58 a.m. |
| NEDg | Description generation | batch_69c11e4454948190a8f4643cb55e673a |
completed | March 23, 2026, 11:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c11ec554688190bfe184608944a15e |
completed | March 23, 2026, 11:06 a.m. |
Created at: March 22, 2026, 4:05 p.m.