Triple
T11372134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monroe, Connecticut |
E269366
|
entity |
| Predicate | hasPark |
P105
|
FINISHED |
| Object |
Wolfe Park
Wolfe Park is a popular recreational park in Monroe, Connecticut, featuring amenities such as sports fields, walking trails, and a public pool.
|
E921927
|
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: Wolfe Park | Statement: [Monroe, Connecticut, hasPark, Wolfe Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wolfe Park Context triple: [Monroe, Connecticut, hasPark, Wolfe Park]
-
A.
Howden Park
Howden Park is a public recreational area in the Howden district, typically offering green space, walking paths, and community leisure facilities.
-
B.
Wheatley Park
Wheatley Park is a public recreational park located in the city of Inkster in Wayne County, Michigan.
-
C.
Devonshire Park
Devonshire Park is a public green space and recreational park located in the town of Keighley in West Yorkshire, England.
-
D.
Exall Park
Exall Park is a public urban park in Dallas, Texas, known for its recreational facilities, green space, and community events.
-
E.
Harleman Park
Harleman Park is a local public park in Cornelius, Oregon, offering outdoor recreational space for residents and visitors.
- 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: Wolfe Park Triple: [Monroe, Connecticut, hasPark, Wolfe Park]
Generated description
Wolfe Park is a popular recreational park in Monroe, Connecticut, featuring amenities such as sports fields, walking trails, and a public pool.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wolfe Park Target entity description: Wolfe Park is a popular recreational park in Monroe, Connecticut, featuring amenities such as sports fields, walking trails, and a public pool.
-
A.
Howden Park
Howden Park is a public recreational area in the Howden district, typically offering green space, walking paths, and community leisure facilities.
-
B.
Wheatley Park
Wheatley Park is a public recreational park located in the city of Inkster in Wayne County, Michigan.
-
C.
Devonshire Park
Devonshire Park is a public green space and recreational park located in the town of Keighley in West Yorkshire, England.
-
D.
Exall Park
Exall Park is a public urban park in Dallas, Texas, known for its recreational facilities, green space, and community events.
-
E.
Harleman Park
Harleman Park is a local public park in Cornelius, Oregon, offering outdoor recreational space for residents and visitors.
- 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_69d6aacca1048190b39dbbc2174616fa |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea8b196881909af9b138661e816d |
completed | April 9, 2026, 6:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5568516a481909ea66cbe53968e84 |
completed | April 19, 2026, 10:26 p.m. |
| NEDg | Description generation | batch_69e562c7de3c8190befb6d7131129a2c |
completed | April 19, 2026, 11:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e56a776390819082d47ad00cf1862b |
completed | April 19, 2026, 11:51 p.m. |
Created at: April 8, 2026, 9:33 p.m.