Triple
T18311343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Region G |
E438631
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Kanana Park
Kanana Park is a residential suburb located within Region G of Johannesburg, South Africa.
|
E1317626
|
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: Kanana Park | Statement: [Region G, contains, Kanana Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kanana Park Context triple: [Region G, contains, Kanana Park]
-
A.
Makomanai Park
Makomanai Park is a large public park in Sapporo, Japan, known for its spacious greenery, walking trails, and role as a former venue area for the 1972 Winter Olympics.
-
B.
Kawameeh Park
Kawameeh Park is a local public park in Union Township, Union County, New Jersey, offering recreational green space and community amenities for area residents.
-
C.
Yahataya Park
Yahataya Park is a public recreational park in Osaka, Japan, known for its green spaces and sports facilities serving the local community.
-
D.
Seka Park
Seka Park is a large coastal urban park and recreational area in İzmit, Turkey, known for its green spaces, walking paths, and cultural facilities along the Gulf of İzmit.
-
E.
Kinshi Park
Kinshi Park is a popular urban green space in Tokyo’s Kinshichō district, known for its cherry blossoms, sports facilities, and views of Tokyo Skytree.
- 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: Kanana Park Triple: [Region G, contains, Kanana Park]
Generated description
Kanana Park is a residential suburb located within Region G of Johannesburg, South Africa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kanana Park Target entity description: Kanana Park is a residential suburb located within Region G of Johannesburg, South Africa.
-
A.
Makomanai Park
Makomanai Park is a large public park in Sapporo, Japan, known for its spacious greenery, walking trails, and role as a former venue area for the 1972 Winter Olympics.
-
B.
Kawameeh Park
Kawameeh Park is a local public park in Union Township, Union County, New Jersey, offering recreational green space and community amenities for area residents.
-
C.
Yahataya Park
Yahataya Park is a public recreational park in Osaka, Japan, known for its green spaces and sports facilities serving the local community.
-
D.
Seka Park
Seka Park is a large coastal urban park and recreational area in İzmit, Turkey, known for its green spaces, walking paths, and cultural facilities along the Gulf of İzmit.
-
E.
Kinshi Park
Kinshi Park is a popular urban green space in Tokyo’s Kinshichō district, known for its cherry blossoms, sports facilities, and views of Tokyo Skytree.
- 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_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50219cd548190b8da5f402d5da773 |
completed | April 19, 2026, 4:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03bb6640e88190bed9e233fc14ecec |
completed | May 12, 2026, 11:44 p.m. |
| NEDg | Description generation | batch_6a03bcc98f6081908d85c0f08cea8f5d |
completed | May 12, 2026, 11:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03c062f9088190aef638dfc212d283 |
completed | May 13, 2026, 12:05 a.m. |
Created at: April 10, 2026, 10:36 a.m.