Triple
T8437111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sokoto River |
E199254
|
entity |
| Predicate | majorCityOnRiver |
P316
|
FINISHED |
| Object |
Argungu
Argungu is a town in northwestern Nigeria renowned for its annual international fishing and cultural festival.
|
E733803
|
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: Argungu | Statement: [Sokoto River, majorCityOnRiver, Argungu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Argungu Context triple: [Sokoto River, majorCityOnRiver, Argungu]
-
A.
Itumbiara
Itumbiara is a municipality in the Brazilian state of Goiás, known for its strategic location on the Paranaíba River and its role as a regional economic and transportation hub.
-
B.
Ngola
Ngola is an alternative name for the Angolar people, a community of African descent primarily associated with São Tomé and Príncipe.
-
C.
Negombo
Negombo is a coastal city in western Sri Lanka known historically as a strategic colonial port and today for its fishing industry and beach tourism.
-
D.
Akwanga
Akwanga is a town and administrative center in central Nigeria known for its role as a commercial and educational hub in Nasarawa State.
-
E.
Agulu
Agulu is a town in southeastern Nigeria known for its large natural lake and location within Anambra State.
- 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: Argungu Triple: [Sokoto River, majorCityOnRiver, Argungu]
Generated description
Argungu is a town in northwestern Nigeria renowned for its annual international fishing and cultural festival.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Argungu Target entity description: Argungu is a town in northwestern Nigeria renowned for its annual international fishing and cultural festival.
-
A.
Itumbiara
Itumbiara is a municipality in the Brazilian state of Goiás, known for its strategic location on the Paranaíba River and its role as a regional economic and transportation hub.
-
B.
Ngola
Ngola is an alternative name for the Angolar people, a community of African descent primarily associated with São Tomé and Príncipe.
-
C.
Negombo
Negombo is a coastal city in western Sri Lanka known historically as a strategic colonial port and today for its fishing industry and beach tourism.
-
D.
Akwanga
Akwanga is a town and administrative center in central Nigeria known for its role as a commercial and educational hub in Nasarawa State.
-
E.
Agulu
Agulu is a town in southeastern Nigeria known for its large natural lake and location within Anambra State.
- 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_69ca8314cd6c8190a6b8c2a1096e18f3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe13446788190ad52a4fd6e8b498a |
completed | March 31, 2026, 2:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1d7d19608190ad3160fc00f8d4b0 |
completed | April 2, 2026, 7:40 a.m. |
| NEDg | Description generation | batch_69ce1ea3aaf881909562b65cefb20089 |
completed | April 2, 2026, 7:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce1f8d748c81909b331ed822919447 |
completed | April 2, 2026, 7:49 a.m. |
Created at: March 30, 2026, 6:08 p.m.