Triple
T13659074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baruten |
E326937
|
entity |
| Predicate | hasAdministrativeHeadquarters |
P1474
|
FINISHED |
| Object |
Kosubosu
Kosubosu is a town in Nigeria that serves as the administrative center of Baruten Local Government Area in Kwara State.
|
E1055791
|
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: Kosubosu | Statement: [Baruten, hasAdministrativeHeadquarters, Kosubosu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kosubosu Context triple: [Baruten, hasAdministrativeHeadquarters, Kosubosu]
-
A.
Kibushi
Kibushi is a Bantu language spoken primarily in Mayotte, where it serves as one of the island’s main regional languages.
-
B.
Ushishiru
Ushishiru is the Japanese name for Ushishir, a volcanic island in Russia’s Kuril Islands chain known for its caldera and geothermal activity.
-
C.
Ōnamuchi
Ōnamuchi is another name for Ōkuninushi, a major Shinto deity associated with nation-building, medicine, and good fortune in Japanese mythology.
-
D.
Ebisucho
Ebisucho is a commercial and entertainment district in Osaka’s Naniwa Ward, known for its proximity to Den Den Town and its mix of electronics shops, eateries, and local businesses.
-
E.
Kokonoe
Kokonoe is a small mountainous town in Japan known for its hot springs, scenic highlands, and suspension bridges.
- 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: Kosubosu Triple: [Baruten, hasAdministrativeHeadquarters, Kosubosu]
Generated description
Kosubosu is a town in Nigeria that serves as the administrative center of Baruten Local Government Area in Kwara State.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kosubosu Target entity description: Kosubosu is a town in Nigeria that serves as the administrative center of Baruten Local Government Area in Kwara State.
-
A.
Kibushi
Kibushi is a Bantu language spoken primarily in Mayotte, where it serves as one of the island’s main regional languages.
-
B.
Ushishiru
Ushishiru is the Japanese name for Ushishir, a volcanic island in Russia’s Kuril Islands chain known for its caldera and geothermal activity.
-
C.
Ōnamuchi
Ōnamuchi is another name for Ōkuninushi, a major Shinto deity associated with nation-building, medicine, and good fortune in Japanese mythology.
-
D.
Ebisucho
Ebisucho is a commercial and entertainment district in Osaka’s Naniwa Ward, known for its proximity to Den Den Town and its mix of electronics shops, eateries, and local businesses.
-
E.
Kokonoe
Kokonoe is a small mountainous town in Japan known for its hot springs, scenic highlands, and suspension bridges.
- 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_69d8076d8270819092afc2f0e9c359a8 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc61f0d808190b1cd2a6ba0d930eb |
completed | April 12, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f794395618819094a7f0ffcf5d3fb6 |
completed | May 3, 2026, 6:30 p.m. |
| NEDg | Description generation | batch_69f7986b9a1c8190b88634af9fc11ebe |
completed | May 3, 2026, 6:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f798d7e1a0819087332287d5f9a25f |
completed | May 3, 2026, 6:50 p.m. |
Created at: April 9, 2026, 9:52 p.m.