Triple
T21411691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stevens Point |
E528186
|
entity |
| Predicate | hasPark |
P105
|
FINISHED |
| Object |
Bukolt Park
Bukolt Park is a public recreational park in Stevens Point, Wisconsin, known for its riverside setting, sports facilities, and community events.
|
E1498172
|
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: Bukolt Park | Statement: [Stevens Point, hasPark, Bukolt Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bukolt Park Context triple: [Stevens Point, hasPark, Bukolt Park]
-
A.
Boulan Park
Boulan Park is a public recreational park located in Troy, Michigan, featuring sports facilities, open green spaces, and community amenities.
-
B.
Bouckenborgh Park
Bouckenborgh Park is a public green space in the Antwerp district of Merksem, known for its historic castle, ponds, and recreational areas.
-
C.
Brechtel Park
Brechtel Park is a public green space and recreational park located in the Algiers area on the West Bank of New Orleans.
-
D.
Buckley Park
Buckley Park is a local public park located in the suburban community of Whitefish Bay, Wisconsin, offering recreational green space for residents.
-
E.
Badachu Park
Badachu Park is a historic scenic area in Beijing known for its eight ancient Buddhist temples, lush forested hills, and popular hiking trails.
- 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: Bukolt Park Triple: [Stevens Point, hasPark, Bukolt Park]
Generated description
Bukolt Park is a public recreational park in Stevens Point, Wisconsin, known for its riverside setting, sports facilities, and community events.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bukolt Park Target entity description: Bukolt Park is a public recreational park in Stevens Point, Wisconsin, known for its riverside setting, sports facilities, and community events.
-
A.
Boulan Park
Boulan Park is a public recreational park located in Troy, Michigan, featuring sports facilities, open green spaces, and community amenities.
-
B.
Bouckenborgh Park
Bouckenborgh Park is a public green space in the Antwerp district of Merksem, known for its historic castle, ponds, and recreational areas.
-
C.
Brechtel Park
Brechtel Park is a public green space and recreational park located in the Algiers area on the West Bank of New Orleans.
-
D.
Buckley Park
Buckley Park is a local public park located in the suburban community of Whitefish Bay, Wisconsin, offering recreational green space for residents.
-
E.
Badachu Park
Badachu Park is a historic scenic area in Beijing known for its eight ancient Buddhist temples, lush forested hills, and popular hiking trails.
- 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_69e0c454c248819093425d1099101c09 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b1fe2cd08190bfaf28daae4f5233 |
completed | April 22, 2026, 11:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a24990c548190b8d4125b896683ff |
completed | May 17, 2026, 8:27 p.m. |
| NEDg | Description generation | batch_6a0a25e3f88c8190b9e45419c281f781 |
completed | May 17, 2026, 8:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a26ad254081908be75936046e23ca |
completed | May 17, 2026, 8:35 p.m. |
Created at: April 16, 2026, 5:43 p.m.