Triple
T19732743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maniema Province |
E473894
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Lubutu
Lubutu is a town in the eastern Democratic Republic of the Congo that serves as an important local center within Maniema Province.
|
E1393289
|
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: Lubutu | Statement: [Maniema Province, hasCity, Lubutu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lubutu Context triple: [Maniema Province, hasCity, Lubutu]
-
A.
Sindagua
Sindagua is an extinct Barbacoan language once spoken by indigenous communities in what is now southwestern Colombia.
-
B.
Mangole
Mangole is one of the principal islands of Indonesia’s Sula Islands archipelago in North Maluku Province.
-
C.
Ongwediva
Ongwediva is a growing town in northern Namibia known as an educational and commercial hub, hosting institutions like the University of Namibia’s campus and the annual Ongwediva Trade Fair.
-
D.
Kalambo
Kalambo is an agricultural research station site in the Lake Tanganyika region of Tanzania, known for supporting tropical crop and farming systems research.
-
E.
Ohangwena
Ohangwena is a settlement in northern Namibia that lends its name to the surrounding Ohangwena Region.
- 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: Lubutu Triple: [Maniema Province, hasCity, Lubutu]
Generated description
Lubutu is a town in the eastern Democratic Republic of the Congo that serves as an important local center within Maniema Province.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lubutu Target entity description: Lubutu is a town in the eastern Democratic Republic of the Congo that serves as an important local center within Maniema Province.
-
A.
Sindagua
Sindagua is an extinct Barbacoan language once spoken by indigenous communities in what is now southwestern Colombia.
-
B.
Mangole
Mangole is one of the principal islands of Indonesia’s Sula Islands archipelago in North Maluku Province.
-
C.
Ongwediva
Ongwediva is a growing town in northern Namibia known as an educational and commercial hub, hosting institutions like the University of Namibia’s campus and the annual Ongwediva Trade Fair.
-
D.
Kalambo
Kalambo is an agricultural research station site in the Lake Tanganyika region of Tanzania, known for supporting tropical crop and farming systems research.
-
E.
Ohangwena
Ohangwena is a settlement in northern Namibia that lends its name to the surrounding Ohangwena Region.
- 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_69d8e517ebd48190979ee76723bcfadf |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e651596b98819090bcaf05c7b74555 |
completed | April 20, 2026, 4:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07b4f4e1e081908fca0b6513bb3bbb |
completed | May 16, 2026, 12:06 a.m. |
| NEDg | Description generation | batch_6a07b73cc5a48190af0ab9da30c859b4 |
completed | May 16, 2026, 12:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07b81193d081908dfb19272b4df41b |
completed | May 16, 2026, 12:19 a.m. |
Created at: April 10, 2026, 1:47 p.m.