Triple
T4209645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aventura |
E93868
|
entity |
| Predicate | hasPark |
P105
|
FINISHED |
| Object |
Veterans Park
Veterans Park is a public recreational green space in Aventura, Florida, offering outdoor amenities and community gathering areas for local residents and visitors.
|
E421868
|
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: Veterans Park | Statement: [Aventura, hasPark, Veterans Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Veterans Park Context triple: [Aventura, hasPark, Veterans Park]
-
A.
Veterans Park
Veterans Park is a public recreational park in Hoover, Alabama, featuring open green spaces, sports facilities, and community amenities for residents and visitors.
-
B.
Veterans Park
Veterans Park is a public recreational park located in Alabaster, Alabama, offering outdoor spaces and amenities for community activities and events.
-
C.
Veterans Park
Veterans Park is a public recreational park located in the village of Maywood, Illinois.
-
D.
Veterans Park
Veterans Park is a public recreational park located in Monroe, Michigan.
-
E.
Veterans Park
Veterans Park is a seaside public park in Redondo Beach, California, known for its ocean views, open green space, and community events.
- 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: Veterans Park Triple: [Aventura, hasPark, Veterans Park]
Generated description
Veterans Park is a public recreational green space in Aventura, Florida, offering outdoor amenities and community gathering areas for local residents and visitors.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Veterans Park Target entity description: Veterans Park is a public recreational green space in Aventura, Florida, offering outdoor amenities and community gathering areas for local residents and visitors.
-
A.
Veterans Park
Veterans Park is a public recreational park in Hoover, Alabama, featuring open green spaces, sports facilities, and community amenities for residents and visitors.
-
B.
Veterans Park
Veterans Park is a public recreational park located in Alabaster, Alabama, offering outdoor spaces and amenities for community activities and events.
-
C.
Veterans Park
Veterans Park is a public recreational park located in the village of Maywood, Illinois.
-
D.
Veterans Park
Veterans Park is a public recreational park located in Monroe, Michigan.
-
E.
Veterans Park
Veterans Park is a seaside public park in Redondo Beach, California, known for its ocean views, open green space, and community events.
- 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_69b3451743608190808f41d17ccf2650 |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b3480f80208190b08ca6ccfe9c41f6 |
completed | March 12, 2026, 11:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5962ec4f8819085bef81ce71aa132 |
completed | March 14, 2026, 5:09 p.m. |
| NEDg | Description generation | batch_69b596eb6c288190a63c61d5e71c609b |
completed | March 14, 2026, 5:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b59788ef308190a34c2f23f22a7e4d |
completed | March 14, 2026, 5:14 p.m. |
Created at: March 12, 2026, 11:03 p.m.