Triple
T14701885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yunusari |
E345323
|
entity |
| Predicate | hasCapital |
P204
|
FINISHED |
| Object |
Kanamma
Kanamma is a town in northeastern Nigeria that serves as the administrative headquarters of Yunusari Local Government Area in Yobe State.
|
E1115699
|
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: Kanamma | Statement: [Yunusari, hasCapital, Kanamma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kanamma Context triple: [Yunusari, hasCapital, Kanamma]
-
A.
Berbeka
Berbeka is a Polish surname most notably associated with high-altitude mountaineer Maciej Berbeka.
-
B.
Cajeme
Cajeme is a major municipality and agricultural and industrial center in the southern part of the Mexican state of Sonora, best known for its main city Ciudad Obregón.
-
C.
Morumbi
Morumbi is a major football stadium in São Paulo, Brazil, best known as the home ground of São Paulo FC and a frequent venue for major national and international matches.
-
D.
Canóvanas
Canóvanas is a municipality in northeastern Puerto Rico known for its proximity to San Juan and its blend of suburban communities with rural, mountainous landscapes.
-
E.
Narkamaŭka
Narkamaŭka is the modern standardized form of the Belarusian language’s orthography, officially adopted in the mid-20th century and contrasted with the older Taraškievica spelling.
- 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: Kanamma Triple: [Yunusari, hasCapital, Kanamma]
Generated description
Kanamma is a town in northeastern Nigeria that serves as the administrative headquarters of Yunusari Local Government Area in Yobe State.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kanamma Target entity description: Kanamma is a town in northeastern Nigeria that serves as the administrative headquarters of Yunusari Local Government Area in Yobe State.
-
A.
Berbeka
Berbeka is a Polish surname most notably associated with high-altitude mountaineer Maciej Berbeka.
-
B.
Cajeme
Cajeme is a major municipality and agricultural and industrial center in the southern part of the Mexican state of Sonora, best known for its main city Ciudad Obregón.
-
C.
Morumbi
Morumbi is a major football stadium in São Paulo, Brazil, best known as the home ground of São Paulo FC and a frequent venue for major national and international matches.
-
D.
Canóvanas
Canóvanas is a municipality in northeastern Puerto Rico known for its proximity to San Juan and its blend of suburban communities with rural, mountainous landscapes.
-
E.
Narkamaŭka
Narkamaŭka is the modern standardized form of the Belarusian language’s orthography, officially adopted in the mid-20th century and contrasted with the older Taraškievica spelling.
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb605f5948190ab6b20887c4b6833 |
completed | April 14, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf0861c308190af0b5da403ecb321 |
completed | May 8, 2026, 2:17 p.m. |
| NEDg | Description generation | batch_69fdf368782c8190825247435eab2045 |
completed | May 8, 2026, 2:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdf3fe50ac8190ad5529427472eda3 |
completed | May 8, 2026, 2:32 p.m. |
Created at: April 10, 2026, 1:28 a.m.