Triple
T6315432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ebonyi State |
E141603
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object |
Abakaliki
Abakaliki is a major city in southeastern Nigeria known as an administrative, commercial, and agricultural hub.
|
E584952
|
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: Abakaliki | Statement: [Ebonyi State, capital, Abakaliki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abakaliki Context triple: [Ebonyi State, capital, Abakaliki]
-
A.
Enugu
Enugu is a major city in southeastern Nigeria known historically for its coal mining industry and role as a regional administrative and economic center.
-
B.
Bauchi
Bauchi is a prominent city in northeastern Nigeria that serves as the capital of Bauchi State and a key commercial and administrative center in the region.
-
C.
Makurdi
Makurdi is the capital city of Benue State in central Nigeria, serving as an important administrative and commercial hub in the region.
-
D.
Keffi
Keffi is a historic town and commercial center in central Nigeria that serves as one of the key urban settlements in Nasarawa State.
-
E.
Onitsha
Onitsha is a major commercial and river port city on the eastern bank of the Niger River in southeastern Nigeria, known for its large open-air market and vibrant trade.
- 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: Abakaliki Triple: [Ebonyi State, capital, Abakaliki]
Generated description
Abakaliki is a major city in southeastern Nigeria known as an administrative, commercial, and agricultural hub.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Abakaliki Target entity description: Abakaliki is a major city in southeastern Nigeria known as an administrative, commercial, and agricultural hub.
-
A.
Enugu
Enugu is a major city in southeastern Nigeria known historically for its coal mining industry and role as a regional administrative and economic center.
-
B.
Bauchi
Bauchi is a prominent city in northeastern Nigeria that serves as the capital of Bauchi State and a key commercial and administrative center in the region.
-
C.
Makurdi
Makurdi is the capital city of Benue State in central Nigeria, serving as an important administrative and commercial hub in the region.
-
D.
Keffi
Keffi is a historic town and commercial center in central Nigeria that serves as one of the key urban settlements in Nasarawa State.
-
E.
Onitsha
Onitsha is a major commercial and river port city on the eastern bank of the Niger River in southeastern Nigeria, known for its large open-air market and vibrant trade.
- 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_69c008d13b8c8190be47d896eb735605 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c064a197488190946c4637b3c829a5 |
completed | March 22, 2026, 9:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e478987c819085df63dab784af2a |
completed | March 27, 2026, 1:59 a.m. |
| NEDg | Description generation | batch_69c5f86226888190a8af3629ae55feff |
completed | March 27, 2026, 3:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c5f8dc9114819095d41e0d0d260ee9 |
completed | March 27, 2026, 3:26 a.m. |
Created at: March 22, 2026, 4:28 p.m.