Triple
T23257193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bo District |
E581904
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Bagbo
Bagbo is a town and administrative settlement located within Bo District in southern Sierra Leone.
|
E1577076
|
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: Bagbo | Statement: [Bo District, hasSettlement, Bagbo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bagbo Context triple: [Bo District, hasSettlement, Bagbo]
-
A.
Basoko
Basoko is a riverside town in the Democratic Republic of the Congo, situated at the confluence of the Aruwimi and Congo Rivers and serving as a local administrative and trading center.
-
B.
Gboko
Gboko is a prominent town in Benue State, Nigeria, recognized as a cultural and economic hub for the Tiv people.
-
C.
Bété
Bété is a group of Kru languages spoken primarily in western and central Côte d’Ivoire, known for its rich oral traditions and cultural significance among the Bété people.
-
D.
Zogoiby
Zogoiby is the surname of Aurora Zogoiby, a character from Salman Rushdie’s novel "The Moor’s Last Sigh."
-
E.
Bagà
Bagà is a historic town in Catalonia, Spain, known for its medieval old quarter and location in the Pyrenees.
- 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: Bagbo Triple: [Bo District, hasSettlement, Bagbo]
Generated description
Bagbo is a town and administrative settlement located within Bo District in southern Sierra Leone.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bagbo Target entity description: Bagbo is a town and administrative settlement located within Bo District in southern Sierra Leone.
-
A.
Basoko
Basoko is a riverside town in the Democratic Republic of the Congo, situated at the confluence of the Aruwimi and Congo Rivers and serving as a local administrative and trading center.
-
B.
Gboko
Gboko is a prominent town in Benue State, Nigeria, recognized as a cultural and economic hub for the Tiv people.
-
C.
Bété
Bété is a group of Kru languages spoken primarily in western and central Côte d’Ivoire, known for its rich oral traditions and cultural significance among the Bété people.
-
D.
Zogoiby
Zogoiby is the surname of Aurora Zogoiby, a character from Salman Rushdie’s novel "The Moor’s Last Sigh."
-
E.
Bagà
Bagà is a historic town in Catalonia, Spain, known for its medieval old quarter and location in the Pyrenees.
- 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_69e246079f58819085eaa9c260906880 |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f194c5f5bc8190ac8776f7f7430209 |
completed | April 29, 2026, 5:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c3f6be3ec8190be316ae03c3b3729 |
completed | May 19, 2026, 10:46 a.m. |
| NEDg | Description generation | batch_6a0c40297d3c8190b366b60cec3dbbf8 |
completed | May 19, 2026, 10:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c40ffd67481908931ffc2d91fb02b |
completed | May 19, 2026, 10:52 a.m. |
Created at: April 17, 2026, 4:11 p.m.