Triple
T12272236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Esan |
E292498
|
entity |
| Predicate | traditionalState |
P18799
|
FINISHED |
| Object |
Amahor
Amahor is a traditional Esan community in Edo State, Nigeria, known for its indigenous customs, language, and local governance structures.
|
E975839
|
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: Amahor | Statement: [Esan, traditionalState, Amahor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amahor Context triple: [Esan, traditionalState, Amahor]
-
A.
Shambat
Shambat is a district in Khartoum, Sudan, known for hosting major educational and agricultural institutions, including the University of Khartoum’s agricultural campus.
-
B.
Amar'e
Amar'e is a retired American professional basketball player best known as an explosive All-Star power forward in the NBA, primarily with the Phoenix Suns and New York Knicks.
-
C.
Amreya
Amreya is a district within Egypt’s Alexandria region, known for its mix of industrial zones, residential areas, and proximity to the Mediterranean coast.
-
D.
Aheloy
Aheloy is a small Bulgarian coastal town on the Black Sea, known for its tranquil beaches and proximity to the larger resort areas of the Burgas region.
-
E.
Amarar
Amarar is the native name used by the Beja people to refer to themselves or their community.
- 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: Amahor Triple: [Esan, traditionalState, Amahor]
Generated description
Amahor is a traditional Esan community in Edo State, Nigeria, known for its indigenous customs, language, and local governance structures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Amahor Target entity description: Amahor is a traditional Esan community in Edo State, Nigeria, known for its indigenous customs, language, and local governance structures.
-
A.
Shambat
Shambat is a district in Khartoum, Sudan, known for hosting major educational and agricultural institutions, including the University of Khartoum’s agricultural campus.
-
B.
Amar'e
Amar'e is a retired American professional basketball player best known as an explosive All-Star power forward in the NBA, primarily with the Phoenix Suns and New York Knicks.
-
C.
Amreya
Amreya is a district within Egypt’s Alexandria region, known for its mix of industrial zones, residential areas, and proximity to the Mediterranean coast.
-
D.
Aheloy
Aheloy is a small Bulgarian coastal town on the Black Sea, known for its tranquil beaches and proximity to the larger resort areas of the Burgas region.
-
E.
Amarar
Amarar is the native name used by the Beja people to refer to themselves or their community.
- 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_69d6ab6856488190b5d31178d5015f8e |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cee7158819093fff74db6867896 |
completed | April 10, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e6981b48190a0fc5a571c425be1 |
completed | May 2, 2026, 3:55 p.m. |
| NEDg | Description generation | batch_69f622de74f0819096c5f5bf6f938fe7 |
completed | May 2, 2026, 4:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62379746c8190bc9da48775b86dfa |
completed | May 2, 2026, 4:16 p.m. |
Created at: April 8, 2026, 9:52 p.m.