Triple
T16206705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R61 route |
E393345
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object |
Bizana
Bizana is a small town in South Africa’s Eastern Cape province, situated in a rural area historically associated with the former Transkei region.
|
E1201306
|
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: Bizana | Statement: [R61 route, passesThrough, Bizana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bizana Context triple: [R61 route, passesThrough, Bizana]
-
A.
Bizika
Bizika is the endonym used by the Tujia people, an ethnic minority primarily living in the mountainous regions of central China.
-
B.
Bagà
Bagà is a historic town in Catalonia, Spain, known for its medieval old quarter and location in the Pyrenees.
-
C.
Busia
Busia is a Ghanaian surname most prominently associated with Kofi Abrefa Busia, a former Prime Minister of Ghana and influential political leader.
-
D.
Busia
Busia is a prominent border town in eastern Uganda that serves as a major commercial and transit hub between Uganda and Kenya.
-
E.
Bonab
Bonab is a city in northwestern Iran known for its location in East Azerbaijan Province and its regional agricultural and trade activities.
- 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: Bizana Triple: [R61 route, passesThrough, Bizana]
Generated description
Bizana is a small town in South Africa’s Eastern Cape province, situated in a rural area historically associated with the former Transkei region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bizana Target entity description: Bizana is a small town in South Africa’s Eastern Cape province, situated in a rural area historically associated with the former Transkei region.
-
A.
Bizika
Bizika is the endonym used by the Tujia people, an ethnic minority primarily living in the mountainous regions of central China.
-
B.
Bagà
Bagà is a historic town in Catalonia, Spain, known for its medieval old quarter and location in the Pyrenees.
-
C.
Busia
Busia is a Ghanaian surname most prominently associated with Kofi Abrefa Busia, a former Prime Minister of Ghana and influential political leader.
-
D.
Busia
Busia is a prominent border town in eastern Uganda that serves as a major commercial and transit hub between Uganda and Kenya.
-
E.
Bonab
Bonab is a city in northwestern Iran known for its location in East Azerbaijan Province and its regional agricultural and trade activities.
- 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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e227101a3c819095ef40e50bf66433 |
completed | April 17, 2026, 12:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00078fa2ac8190a0a2cf38bc41498d |
completed | May 10, 2026, 4:20 a.m. |
| NEDg | Description generation | batch_6a000900bfbc8190b21eb513838759a9 |
completed | May 10, 2026, 4:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a000a0fc93c819088d9233aaa5e2017 |
completed | May 10, 2026, 4:31 a.m. |
Created at: April 10, 2026, 5:03 a.m.