Triple
T13705848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ebira |
E328638
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object |
Adavi area
Adavi area is a locality traditionally associated with the Ebira people, known for their distinct cultural heritage in central Nigeria.
|
E1054941
|
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: Adavi area | Statement: [Ebira, region, Adavi area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adavi area Context triple: [Ebira, region, Adavi area]
-
A.
Chapa Dara area
The Chapa Dara area is a locality in eastern Afghanistan situated along the Pech River, known for its rugged terrain and strategic significance in Kunar Province.
-
B.
Pankshin area
Pankshin area is a locality in Plateau State, central Nigeria, known for its diverse ethnic groups and use of the Angas language.
-
C.
Dedugala area
Dedugala area is a locality within Sri Lanka’s Sabaragamuwa Province, known for its rural setting and proximity to the region’s forested hills and waterfalls.
-
D.
Afandale area
Afandale area is a residential neighbourhood located in or near Cimla in Neath, South Wales.
-
E.
Tutuala area
The Tutuala area is a coastal and forested region at the eastern tip of Timor-Leste known for its rugged cliffs, beaches, and cultural sites within Nino Konis Santana National Park.
- 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: Adavi area Triple: [Ebira, region, Adavi area]
Generated description
Adavi area is a locality traditionally associated with the Ebira people, known for their distinct cultural heritage in central Nigeria.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Adavi area Target entity description: Adavi area is a locality traditionally associated with the Ebira people, known for their distinct cultural heritage in central Nigeria.
-
A.
Chapa Dara area
The Chapa Dara area is a locality in eastern Afghanistan situated along the Pech River, known for its rugged terrain and strategic significance in Kunar Province.
-
B.
Pankshin area
Pankshin area is a locality in Plateau State, central Nigeria, known for its diverse ethnic groups and use of the Angas language.
-
C.
Dedugala area
Dedugala area is a locality within Sri Lanka’s Sabaragamuwa Province, known for its rural setting and proximity to the region’s forested hills and waterfalls.
-
D.
Afandale area
Afandale area is a residential neighbourhood located in or near Cimla in Neath, South Wales.
-
E.
Tutuala area
The Tutuala area is a coastal and forested region at the eastern tip of Timor-Leste known for its rugged cliffs, beaches, and cultural sites within Nino Konis Santana National Park.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dcad17732c8190bbd0d73107711c99 |
completed | April 13, 2026, 8:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7945b63288190819621830ac1c0d6 |
completed | May 3, 2026, 6:30 p.m. |
| NEDg | Description generation | batch_69f796df515c819080a95621a8308629 |
completed | May 3, 2026, 6:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7976846308190b1a5c056609fca34 |
completed | May 3, 2026, 6:43 p.m. |
Created at: April 9, 2026, 9:54 p.m.