Triple
T12654058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Tano |
E302236
|
entity |
| Predicate | hasLanguage |
P15
|
FINISHED |
| Object |
Chakosi
Chakosi is a Gur language spoken primarily by the Chakosi (Anufo) people in parts of Ghana, Togo, and Benin.
|
E1001811
|
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: Chakosi | Statement: [Central Tano, hasLanguage, Chakosi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chakosi Context triple: [Central Tano, hasLanguage, Chakosi]
-
A.
Chakia
Chakia is a town in the East Champaran district of the Indian state of Bihar, known primarily as a local administrative and market center for the surrounding rural region.
-
B.
Chakvi
Chakvi is a small resort town on Georgia’s Black Sea coast, known for its subtropical climate, tea plantations, and proximity to Mtirala National Park.
-
C.
Shekkacho
Shekkacho is an Afroasiatic Omotic language spoken by the Shekkacho people in southwestern Ethiopia.
-
D.
Chakesar
Chakesar is a town and administrative center in Pakistan’s Khyber Pakhtunkhwa province, known for its mountainous terrain and agricultural surroundings.
-
E.
Chakala
Chakala is a prominent commercial and residential locality in Mumbai’s Andheri suburb, known for its industrial estates, offices, and proximity to key transport links.
- 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: Chakosi Triple: [Central Tano, hasLanguage, Chakosi]
Generated description
Chakosi is a Gur language spoken primarily by the Chakosi (Anufo) people in parts of Ghana, Togo, and Benin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chakosi Target entity description: Chakosi is a Gur language spoken primarily by the Chakosi (Anufo) people in parts of Ghana, Togo, and Benin.
-
A.
Chakia
Chakia is a town in the East Champaran district of the Indian state of Bihar, known primarily as a local administrative and market center for the surrounding rural region.
-
B.
Chakvi
Chakvi is a small resort town on Georgia’s Black Sea coast, known for its subtropical climate, tea plantations, and proximity to Mtirala National Park.
-
C.
Shekkacho
Shekkacho is an Afroasiatic Omotic language spoken by the Shekkacho people in southwestern Ethiopia.
-
D.
Chakesar
Chakesar is a town and administrative center in Pakistan’s Khyber Pakhtunkhwa province, known for its mountainous terrain and agricultural surroundings.
-
E.
Chakala
Chakala is a prominent commercial and residential locality in Mumbai’s Andheri suburb, known for its industrial estates, offices, and proximity to key transport links.
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96160730c81909e1aa3efb51bf159 |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684dd133481909ce06b8b1fd5a5e3 |
completed | May 2, 2026, 11:12 p.m. |
| NEDg | Description generation | batch_69f6863fada48190afe2ff7896a60094 |
completed | May 2, 2026, 11:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f686bcac94819088782273effbb06a |
completed | May 2, 2026, 11:20 p.m. |
Created at: April 9, 2026, 5:18 p.m.