Triple
T10777063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anioma region |
E254224
|
entity |
| Predicate | majorTown |
P316
|
FINISHED |
| Object |
Kwale
Kwale is a prominent town in Nigeria’s Delta State, recognized as one of the key urban centers of the Anioma (Igbo-speaking) region.
|
E884078
|
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: Kwale | Statement: [Anioma region, majorTown, Kwale]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kwale Context triple: [Anioma region, majorTown, Kwale]
-
A.
Kwale
Kwale is a small town in southeastern Kenya that serves as the administrative headquarters of Kwale County near the Indian Ocean coast.
-
B.
Kasangulu
Kasangulu is a town and transport hub in western Democratic Republic of the Congo, located near Kinshasa and known for its position along key road and rail routes.
-
C.
Unawatuna
Unawatuna is a popular coastal town in southern Sri Lanka known for its palm-fringed beach, coral-rich bay, and laid-back tourist atmosphere.
-
D.
Hulhumalé
Hulhumalé is a reclaimed island and planned urban development in the Maldives, created to expand housing and infrastructure near the capital, Malé.
-
E.
Thilafushi
Thilafushi is an artificial island in the Maldives primarily known for serving as a major landfill and waste management site near Malé.
- 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: Kwale Triple: [Anioma region, majorTown, Kwale]
Generated description
Kwale is a prominent town in Nigeria’s Delta State, recognized as one of the key urban centers of the Anioma (Igbo-speaking) region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kwale Target entity description: Kwale is a prominent town in Nigeria’s Delta State, recognized as one of the key urban centers of the Anioma (Igbo-speaking) region.
-
A.
Kwale
Kwale is a small town in southeastern Kenya that serves as the administrative headquarters of Kwale County near the Indian Ocean coast.
-
B.
Kasangulu
Kasangulu is a town and transport hub in western Democratic Republic of the Congo, located near Kinshasa and known for its position along key road and rail routes.
-
C.
Unawatuna
Unawatuna is a popular coastal town in southern Sri Lanka known for its palm-fringed beach, coral-rich bay, and laid-back tourist atmosphere.
-
D.
Hulhumalé
Hulhumalé is a reclaimed island and planned urban development in the Maldives, created to expand housing and infrastructure near the capital, Malé.
-
E.
Thilafushi
Thilafushi is an artificial island in the Maldives primarily known for serving as a major landfill and waste management site near Malé.
- 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_69d6aa609f008190a294200aefcb7bd5 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7329d8c908190bddad40685133ea1 |
completed | April 9, 2026, 5:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de238ff88881908676d38dca041cb4 |
completed | April 14, 2026, 11:22 a.m. |
| NEDg | Description generation | batch_69de2720635c8190a9f75f40414884e2 |
completed | April 14, 2026, 11:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69de2cee8e0c8190a5f40308e02433c0 |
completed | April 14, 2026, 12:02 p.m. |
Created at: April 8, 2026, 9:16 p.m.