Triple
T14380304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kebbi Kingdom |
E356582
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object |
Surame
Surame is a historic town in northwestern Nigeria that once served as the political and administrative center of the Kebbi Kingdom.
|
E1096103
|
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: Surame | Statement: [Kebbi Kingdom, capital, Surame]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Surame Context triple: [Kebbi Kingdom, capital, Surame]
-
A.
Asakura
Asakura is a city in Fukuoka Prefecture, Japan, known for its rural landscapes, historic sites, and agricultural products such as fruits and vegetables.
-
B.
Go (surname)
Go is an East Asian surname, commonly associated with Korean and Chinese lineages and represented by various characters and romanizations.
-
C.
Nakayama family
The Nakayama family is a Japanese lineage historically known for its connections to the imperial court and for producing notable figures in Japan’s political and cultural life.
-
D.
Saito
Saito is a Japanese surname commonly borne by notable figures in fields such as politics, sports, and the arts.
-
E.
Shiranesansō
Shiranesansō is a mountain hut located on or near Mount Kita in Japan, serving as accommodation and a base for hikers and climbers in the Southern Japanese Alps.
- 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: Surame Triple: [Kebbi Kingdom, capital, Surame]
Generated description
Surame is a historic town in northwestern Nigeria that once served as the political and administrative center of the Kebbi Kingdom.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Surame Target entity description: Surame is a historic town in northwestern Nigeria that once served as the political and administrative center of the Kebbi Kingdom.
-
A.
Asakura
Asakura is a city in Fukuoka Prefecture, Japan, known for its rural landscapes, historic sites, and agricultural products such as fruits and vegetables.
-
B.
Go (surname)
Go is an East Asian surname, commonly associated with Korean and Chinese lineages and represented by various characters and romanizations.
-
C.
Nakayama family
The Nakayama family is a Japanese lineage historically known for its connections to the imperial court and for producing notable figures in Japan’s political and cultural life.
-
D.
Saito
Saito is a Japanese surname commonly borne by notable figures in fields such as politics, sports, and the arts.
-
E.
Shiranesansō
Shiranesansō is a mountain hut located on or near Mount Kita in Japan, serving as accommodation and a base for hikers and climbers in the Southern Japanese Alps.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de900bbfb08190a1e56f281a2374c0 |
completed | April 14, 2026, 7:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c590660819090652e75418f2747 |
completed | May 8, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_69fd4e4bae188190a8d1c5b833d58cd8 |
completed | May 8, 2026, 2:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd4f5782b4819081d32dbef032ac61 |
completed | May 8, 2026, 2:49 a.m. |
Created at: April 10, 2026, 1:16 a.m.