Triple
T23449272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brong-Ahafo Region |
E567728
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Bechem
Bechem is a town in Ghana that serves as the capital of the Tano South Municipal District and a local center for education and commerce.
|
E1585527
|
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: Bechem | Statement: [Brong-Ahafo Region, containsTown, Bechem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bechem Context triple: [Brong-Ahafo Region, containsTown, Bechem]
-
A.
Cochem
Cochem is a picturesque German town in the Rhineland-Palatinate region, renowned for its hilltop Reichsburg Castle, half-timbered houses, and scenic vineyards along the Moselle Valley.
-
B.
Cheremule
Cheremule is a small municipality in northern Sardinia, Italy, known for its rural landscape and archaeological sites within the historical Logudoro region.
-
C.
Chamical
Chamical is a small city in central La Rioja Province, Argentina, known historically as a regional railway and agricultural center.
-
D.
Comino
Comino is a small, sparsely populated Maltese island in the Mediterranean Sea, best known for its clear waters and the popular Blue Lagoon.
-
E.
Beerta
Beerta is a village in the municipality of Oldambt in the province of Groningen in the northeastern Netherlands.
- 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: Bechem Triple: [Brong-Ahafo Region, containsTown, Bechem]
Generated description
Bechem is a town in Ghana that serves as the capital of the Tano South Municipal District and a local center for education and commerce.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bechem Target entity description: Bechem is a town in Ghana that serves as the capital of the Tano South Municipal District and a local center for education and commerce.
-
A.
Cochem
Cochem is a picturesque German town in the Rhineland-Palatinate region, renowned for its hilltop Reichsburg Castle, half-timbered houses, and scenic vineyards along the Moselle Valley.
-
B.
Cheremule
Cheremule is a small municipality in northern Sardinia, Italy, known for its rural landscape and archaeological sites within the historical Logudoro region.
-
C.
Chamical
Chamical is a small city in central La Rioja Province, Argentina, known historically as a regional railway and agricultural center.
-
D.
Comino
Comino is a small, sparsely populated Maltese island in the Mediterranean Sea, best known for its clear waters and the popular Blue Lagoon.
-
E.
Beerta
Beerta is a village in the municipality of Oldambt in the province of Groningen in the northeastern Netherlands.
- 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_69e2458b4c888190b1d7998f9862a558 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a64c1ee081908ba3adf5ce80d6a5 |
completed | April 29, 2026, 6:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c67bb72588190b6ba67c57b912f30 |
completed | May 19, 2026, 1:38 p.m. |
| NEDg | Description generation | batch_6a0c7218a358819082d8b19b57b61013 |
completed | May 19, 2026, 2:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c76c54ba08190be8f46bacb22b6a3 |
completed | May 19, 2026, 2:42 p.m. |
Created at: April 17, 2026, 5:52 p.m.