Triple
T10860722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bouaké |
E256394
|
entity |
| Predicate | capitalOf |
P204
|
FINISHED |
| Object | Gbêkê Region |
E891227
|
NE FINISHED |
How this triple was built (2 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: Gbêkê Region | Statement: [Bouaké, capitalOf, Gbêkê Region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gbêkê Region Context triple: [Bouaké, capitalOf, Gbêkê Region]
-
A.
Gbêkê Region
chosen
Gbêkê Region is an administrative region in central Ivory Coast whose largest and most prominent city is Bouaké.
-
B.
Bahdinan region
The Bahdinan region is a historical and cultural area in northern Iraqi Kurdistan traditionally associated with the Behdini-speaking Kurds.
-
C.
Karas Region
Karas Region is the southernmost administrative region of Namibia, known for its arid landscapes, desert scenery, and coastal towns along the Atlantic Ocean.
-
D.
Adagh region
The Adagh region is a mountainous area in northeastern Mali, forming part of the Sahara Desert and traditionally inhabited by Tuareg communities.
-
E.
Akhal region
The Akhal region is a historical area in southern Turkmenistan, traditionally associated with the Teke Turkmen tribe and centered around the foothills of the Kopet Dag mountains.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aa83d1448190a66d93c32394d21f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7515186f08190a5cc388a7d936c4f |
completed | April 9, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e154c05bf081909d1892c6c81a5f2c |
completed | April 16, 2026, 9:29 p.m. |
Created at: April 8, 2026, 9:20 p.m.