Triple
T20072125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tanganyika Province |
E499762
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Nyunzu
Nyunzu is a town and administrative center in southeastern Democratic Republic of the Congo, known for its role as a local hub in Tanganyika Province.
|
E1410105
|
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: Nyunzu | Statement: [Tanganyika Province, hasCity, Nyunzu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nyunzu Context triple: [Tanganyika Province, hasCity, Nyunzu]
-
A.
Nganzai
Nganzai is a local government area in Borno State, northeastern Nigeria, known for its rural communities and impact from the Boko Haram insurgency.
-
B.
Yokadouma
Yokadouma is a town in eastern Cameroon that serves as an important local administrative and commercial center near the country's forested border regions.
-
C.
Goura
Goura is a small village in the Peloponnese region of Greece, known for its traditional stone architecture and mountainous surroundings.
-
D.
Isanzu
Isanzu is a Bantu language spoken by the Isanzu people of north-central Tanzania.
-
E.
Nuriro
Nuriro is a class of South Korean intercity passenger trains operated by Korail, providing medium-speed rail services on various routes.
- 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: Nyunzu Triple: [Tanganyika Province, hasCity, Nyunzu]
Generated description
Nyunzu is a town and administrative center in southeastern Democratic Republic of the Congo, known for its role as a local hub in Tanganyika Province.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nyunzu Target entity description: Nyunzu is a town and administrative center in southeastern Democratic Republic of the Congo, known for its role as a local hub in Tanganyika Province.
-
A.
Nganzai
Nganzai is a local government area in Borno State, northeastern Nigeria, known for its rural communities and impact from the Boko Haram insurgency.
-
B.
Yokadouma
Yokadouma is a town in eastern Cameroon that serves as an important local administrative and commercial center near the country's forested border regions.
-
C.
Goura
Goura is a small village in the Peloponnese region of Greece, known for its traditional stone architecture and mountainous surroundings.
-
D.
Isanzu
Isanzu is a Bantu language spoken by the Isanzu people of north-central Tanzania.
-
E.
Nuriro
Nuriro is a class of South Korean intercity passenger trains operated by Korail, providing medium-speed rail services on various routes.
- 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66438633481908710907c48806499 |
completed | April 20, 2026, 5:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a081f3d1ad48190b434568a0c0d60de |
completed | May 16, 2026, 7:39 a.m. |
| NEDg | Description generation | batch_6a08203132d48190b3f1313dae3e6fc1 |
completed | May 16, 2026, 7:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0821390af08190a4aca33d33f0e71d |
completed | May 16, 2026, 7:48 a.m. |
Created at: April 11, 2026, 3:40 p.m.