Triple
T8552018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hyper Neo Geo 64 |
E202465
|
entity |
| Predicate | notableGame |
P3198
|
FINISHED |
| Object |
Buriki One
Buriki One is a 1999 Hyper Neo Geo 64 3D fighting game by SNK known for its unique control scheme that uses buttons for movement and the joystick for attacks.
|
E741469
|
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: Buriki One | Statement: [Hyper Neo Geo 64, notableGame, Buriki One]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buriki One Context triple: [Hyper Neo Geo 64, notableGame, Buriki One]
-
A.
Baki
Baki was a prominent 16th-century Ottoman Turkish poet renowned for his refined ghazals and mastery of classical divan literature.
-
B.
Shinkiari
Shinkiari is a town in Pakistan’s Khyber Pakhtunkhwa province, known for its agricultural surroundings and its location along the Karakoram Highway near Mansehra.
-
C.
Buturi
Buturi is a scientific journal of the Physical Society of Japan that publishes research and articles in the field of physics.
-
D.
Kibushi
Kibushi is a Bantu language spoken primarily in Mayotte, where it serves as one of the island’s main regional languages.
-
E.
Kirakira
Kirakira is a small coastal town in the Solomon Islands that serves as the administrative and commercial center of Makira-Ulawa Province.
- 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: Buriki One Triple: [Hyper Neo Geo 64, notableGame, Buriki One]
Generated description
Buriki One is a 1999 Hyper Neo Geo 64 3D fighting game by SNK known for its unique control scheme that uses buttons for movement and the joystick for attacks.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Buriki One Target entity description: Buriki One is a 1999 Hyper Neo Geo 64 3D fighting game by SNK known for its unique control scheme that uses buttons for movement and the joystick for attacks.
-
A.
Baki
Baki was a prominent 16th-century Ottoman Turkish poet renowned for his refined ghazals and mastery of classical divan literature.
-
B.
Shinkiari
Shinkiari is a town in Pakistan’s Khyber Pakhtunkhwa province, known for its agricultural surroundings and its location along the Karakoram Highway near Mansehra.
-
C.
Buturi
Buturi is a scientific journal of the Physical Society of Japan that publishes research and articles in the field of physics.
-
D.
Kibushi
Kibushi is a Bantu language spoken primarily in Mayotte, where it serves as one of the island’s main regional languages.
-
E.
Kirakira
Kirakira is a small coastal town in the Solomon Islands that serves as the administrative and commercial center of Makira-Ulawa Province.
- 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_69ca832610e08190b3b6c6cd2c250255 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe886fb788190a73e7c76c4f86409 |
completed | March 31, 2026, 3:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6dc7f6fc8190addd5d2bbe1f4408 |
completed | April 2, 2026, 1:23 p.m. |
| NEDg | Description generation | batch_69ce6f3f40708190a351600ec9f12ee4 |
completed | April 2, 2026, 1:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce703b74f8819093bda2d3e59f7e94 |
completed | April 2, 2026, 1:33 p.m. |
Created at: March 30, 2026, 6:19 p.m.