Triple
T6217872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Region |
E139034
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Bogoso
Bogoso is a mining town in southwestern Ghana known for its significant gold deposits and related industrial activities.
|
E577144
|
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: Bogoso | Statement: [Western Region, containsCity, Bogoso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bogoso Context triple: [Western Region, containsCity, Bogoso]
-
A.
Bompoka
Bompoka is a small, remote island that forms part of India’s Nicobar Islands archipelago in the eastern Indian Ocean.
-
B.
Barbalha
Barbalha is a municipality in northeastern Brazil known for its traditional cultural festivals and location in the state of Ceará.
-
C.
Bonalu
Bonalu is a traditional Hindu folk festival of Telangana centered on the worship of the goddess Mahakali, marked by colorful processions, ritual offerings, and regional music and dance.
-
D.
Booligal
Booligal is a small rural locality in New South Wales, Australia, known historically as an outback river settlement on the plains of the Riverina region.
-
E.
Boliqueime
Boliqueime is a small village in Portugal’s Algarve region, known for its traditional charm and proximity to the coastal resorts near Loulé.
- 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: Bogoso Triple: [Western Region, containsCity, Bogoso]
Generated description
Bogoso is a mining town in southwestern Ghana known for its significant gold deposits and related industrial activities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bogoso Target entity description: Bogoso is a mining town in southwestern Ghana known for its significant gold deposits and related industrial activities.
-
A.
Bompoka
Bompoka is a small, remote island that forms part of India’s Nicobar Islands archipelago in the eastern Indian Ocean.
-
B.
Barbalha
Barbalha is a municipality in northeastern Brazil known for its traditional cultural festivals and location in the state of Ceará.
-
C.
Bonalu
Bonalu is a traditional Hindu folk festival of Telangana centered on the worship of the goddess Mahakali, marked by colorful processions, ritual offerings, and regional music and dance.
-
D.
Booligal
Booligal is a small rural locality in New South Wales, Australia, known historically as an outback river settlement on the plains of the Riverina region.
-
E.
Boliqueime
Boliqueime is a small village in Portugal’s Algarve region, known for its traditional charm and proximity to the coastal resorts near Loulé.
- 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_69c008aecb0c81909984b48f733ce8ae |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062a35e308190be25c41b02704411 |
completed | March 22, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c20db4e0ac8190ba7bca1f9d8ac6df |
completed | March 24, 2026, 4:06 a.m. |
| NEDg | Description generation | batch_69c20ff2bb188190baf8a849efc15f87 |
completed | March 24, 2026, 4:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c21365f8f48190970555bd9593b5a4 |
completed | March 24, 2026, 4:30 a.m. |
Created at: March 22, 2026, 4:21 p.m.