Triple
T11858318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ogbia |
E282095
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Kolo
Kolo is a town in Ogbia Local Government Area of Bayelsa State in Nigeria, known as one of the communities in the Niger Delta region.
|
E951711
|
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: Kolo | Statement: [Ogbia, hasSettlement, Kolo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kolo Context triple: [Ogbia, hasSettlement, Kolo]
-
A.
Kolo
Kolo is an alternative name for the Ewondo language, a Bantu language spoken primarily in Cameroon.
-
B.
Koliada
Koliada is a traditional Slavic winter festival and ritual celebration associated with the winter solstice and later with Christmas, featuring caroling, feasting, and symbolic renewal.
-
C.
Kolla
Kolla is an OpenStack project that provides production-ready containerized deployment tools and images for running OpenStack services using technologies like Docker and Kubernetes.
-
D.
Koliyas
Koliyas was an ancient republican clan in northern India, historically known as a neighboring polity to the Shakya tribe during the time of the Buddha.
-
E.
Kolahun
Kolahun is a town in northwestern Liberia that serves as one of the main local centers of administration and commerce in Lofa County.
- 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: Kolo Triple: [Ogbia, hasSettlement, Kolo]
Generated description
Kolo is a town in Ogbia Local Government Area of Bayelsa State in Nigeria, known as one of the communities in the Niger Delta region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kolo Target entity description: Kolo is a town in Ogbia Local Government Area of Bayelsa State in Nigeria, known as one of the communities in the Niger Delta region.
-
A.
Kolo
Kolo is an alternative name for the Ewondo language, a Bantu language spoken primarily in Cameroon.
-
B.
Koliada
Koliada is a traditional Slavic winter festival and ritual celebration associated with the winter solstice and later with Christmas, featuring caroling, feasting, and symbolic renewal.
-
C.
Kolla
Kolla is an OpenStack project that provides production-ready containerized deployment tools and images for running OpenStack services using technologies like Docker and Kubernetes.
-
D.
Koliyas
Koliyas was an ancient republican clan in northern India, historically known as a neighboring polity to the Shakya tribe during the time of the Buddha.
-
E.
Kolahun
Kolahun is a town in northwestern Liberia that serves as one of the main local centers of administration and commerce in Lofa County.
- 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_69d6ab287ba48190a5178779fd19b9b7 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a699089c8190b7a298baf13dcded |
completed | April 10, 2026, 7:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f2816404ac81909129347607fb5fd3 |
completed | April 29, 2026, 10:08 p.m. |
| NEDg | Description generation | batch_69f28d363cac8190b961f17245db493c |
completed | April 29, 2026, 10:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f29150bf508190bdf037d40e445e6d |
completed | April 29, 2026, 11:16 p.m. |
Created at: April 8, 2026, 9:43 p.m.