Triple
T19145482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Transcameroon Railway |
E468667
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object |
Belabo
Belabo is a town in eastern Cameroon that serves as an important junction and stop along the Transcameroon Railway.
|
E1360734
|
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: Belabo | Statement: [Transcameroon Railway, passesThrough, Belabo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Belabo Context triple: [Transcameroon Railway, passesThrough, Belabo]
-
A.
Biloela
Biloela is a rural town in Queensland, Australia, known as an agricultural and administrative centre for the surrounding Central Queensland region.
-
B.
Laabi
Laabi is a small village located in Harku Parish in northern Estonia.
-
C.
Lobata
Lobata is an administrative district on the island of São Tomé in the central African island nation of São Tomé and Príncipe.
-
D.
Kalabo
Kalabo is a significant town in western Zambia’s Barotseland region, serving as a local administrative and commercial center near the Zambezi floodplains.
-
E.
Bélesta
Bélesta is a small commune in the Ariège department of southwestern France, known for its scenic Pyrenean foothills and nearby prehistoric caves.
- 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: Belabo Triple: [Transcameroon Railway, passesThrough, Belabo]
Generated description
Belabo is a town in eastern Cameroon that serves as an important junction and stop along the Transcameroon Railway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Belabo Target entity description: Belabo is a town in eastern Cameroon that serves as an important junction and stop along the Transcameroon Railway.
-
A.
Biloela
Biloela is a rural town in Queensland, Australia, known as an agricultural and administrative centre for the surrounding Central Queensland region.
-
B.
Laabi
Laabi is a small village located in Harku Parish in northern Estonia.
-
C.
Lobata
Lobata is an administrative district on the island of São Tomé in the central African island nation of São Tomé and Príncipe.
-
D.
Kalabo
Kalabo is a significant town in western Zambia’s Barotseland region, serving as a local administrative and commercial center near the Zambezi floodplains.
-
E.
Bélesta
Bélesta is a small commune in the Ariège department of southwestern France, known for its scenic Pyrenean foothills and nearby prehistoric caves.
- 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_69d8dd084ff48190ac0f8c46ee722629 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e978b0b481909a531efa030c5def |
completed | April 20, 2026, 8:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a06f24e34c4819090954c2b79ab20bb |
completed | May 15, 2026, 10:15 a.m. |
| NEDg | Description generation | batch_6a06f366e514819080de839bdde22fc2 |
completed | May 15, 2026, 10:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a06f4039ca881908679e5da604eea50 |
completed | May 15, 2026, 10:22 a.m. |
Created at: April 10, 2026, 12:06 p.m.