Triple
T6561932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kongo Central Province |
E153802
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Tshela
Tshela is a town in the western Democratic Republic of the Congo, situated in the forested interior of Kongo Central Province near the border with the Republic of the Congo.
|
E602981
|
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: Tshela | Statement: [Kongo Central Province, hasTown, Tshela]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tshela Context triple: [Kongo Central Province, hasTown, Tshela]
-
A.
Tsholotsho
Tsholotsho is a rural district and township in western Zimbabwe known for its proximity to Hwange National Park and its predominantly Ndebele-speaking communities.
-
B.
Gavinana
Gavinana is a residential district in the southeastern part of Florence, Italy, known for its modern urban layout and proximity to the Arno River.
-
C.
Sihawa
Sihawa is a village in Chhattisgarh, India, known as the origin point of the Mahanadi River.
-
D.
Hlengwe
Hlengwe is a regional dialect of the Tsonga language spoken by Tsonga communities in parts of southern Africa.
-
E.
Omaruru
Omaruru is a small historic town in central Namibia known for its colonial-era architecture, vineyards, and role as a local trading and farming center.
- 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: Tshela Triple: [Kongo Central Province, hasTown, Tshela]
Generated description
Tshela is a town in the western Democratic Republic of the Congo, situated in the forested interior of Kongo Central Province near the border with the Republic of the Congo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tshela Target entity description: Tshela is a town in the western Democratic Republic of the Congo, situated in the forested interior of Kongo Central Province near the border with the Republic of the Congo.
-
A.
Tsholotsho
Tsholotsho is a rural district and township in western Zimbabwe known for its proximity to Hwange National Park and its predominantly Ndebele-speaking communities.
-
B.
Gavinana
Gavinana is a residential district in the southeastern part of Florence, Italy, known for its modern urban layout and proximity to the Arno River.
-
C.
Sihawa
Sihawa is a village in Chhattisgarh, India, known as the origin point of the Mahanadi River.
-
D.
Hlengwe
Hlengwe is a regional dialect of the Tsonga language spoken by Tsonga communities in parts of southern Africa.
-
E.
Omaruru
Omaruru is a small historic town in central Namibia known for its colonial-era architecture, vineyards, and role as a local trading and farming center.
- 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_69c6880cb35881909b763eb0125236b9 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae38e94081908f964d130f9147d8 |
completed | March 27, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d55fa1bc81908f2929e835051532 |
completed | March 27, 2026, 7:07 p.m. |
| NEDg | Description generation | batch_69c6d676e43081909bf2a9cceff0b9b3 |
completed | March 27, 2026, 7:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6d843bad081909ebb887f32ea4195 |
completed | March 27, 2026, 7:19 p.m. |
Created at: March 27, 2026, 1:52 p.m.