Triple
T14050825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Okpokwu |
E338083
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Ichama
Ichama is a town in Okpokwu Local Government Area of Benue State, Nigeria, known as one of the communities in the Idoma-speaking region.
|
E1076731
|
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: Ichama | Statement: [Okpokwu, hasSettlement, Ichama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ichama Context triple: [Okpokwu, hasSettlement, Ichama]
-
A.
Shiki
Shiki is a city in Saitama Prefecture, Japan, known as a residential and commercial hub within the Greater Tokyo metropolitan area.
-
B.
Okutama
Okutama is a mountainous town in western Tokyo, Japan, known for its forests, lakes, and outdoor recreation areas at the headwaters of the Tama River.
-
C.
Eiryaku
Eiryaku was a Japanese era name (nengō) of the late Heian period, used during the reign of Emperor Go-Shirakawa.
-
D.
Shikinaisha
Shikinaisha are Shinto shrines listed in the ancient Engishiki regulations, regarded as especially important regional sanctuaries in Japan.
-
E.
Hieda no Are
Hieda no Are was a Japanese court reciter traditionally credited with memorizing the oral histories that formed the basis of the early 8th-century chronicle Kojiki.
- 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: Ichama Triple: [Okpokwu, hasSettlement, Ichama]
Generated description
Ichama is a town in Okpokwu Local Government Area of Benue State, Nigeria, known as one of the communities in the Idoma-speaking region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ichama Target entity description: Ichama is a town in Okpokwu Local Government Area of Benue State, Nigeria, known as one of the communities in the Idoma-speaking region.
-
A.
Shiki
Shiki is a city in Saitama Prefecture, Japan, known as a residential and commercial hub within the Greater Tokyo metropolitan area.
-
B.
Okutama
Okutama is a mountainous town in western Tokyo, Japan, known for its forests, lakes, and outdoor recreation areas at the headwaters of the Tama River.
-
C.
Eiryaku
Eiryaku was a Japanese era name (nengō) of the late Heian period, used during the reign of Emperor Go-Shirakawa.
-
D.
Shikinaisha
Shikinaisha are Shinto shrines listed in the ancient Engishiki regulations, regarded as especially important regional sanctuaries in Japan.
-
E.
Hieda no Are
Hieda no Are was a Japanese court reciter traditionally credited with memorizing the oral histories that formed the basis of the early 8th-century chronicle Kojiki.
- 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_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de3c8a518081908ad030ba48b7b946 |
completed | April 14, 2026, 1:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc345a4c081908f803cc53b4f8bca |
completed | May 6, 2026, 10:40 p.m. |
| NEDg | Description generation | batch_69fc4654f96c8190a4fa6a12bdfbec33 |
completed | May 7, 2026, 7:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fc4777e13c8190a705d44d20ca2ca5 |
completed | May 7, 2026, 8:04 a.m. |
Created at: April 9, 2026, 10:20 p.m.