Triple
T2627803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fredericton |
E59160
|
entity |
| Predicate | hasGreenSpace |
P1495
|
FINISHED |
| Object |
Carleton Park
Carleton Park is a riverside public park in Fredericton, New Brunswick, known for its scenic views, open green spaces, and recreational amenities.
|
E283567
|
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: Carleton Park | Statement: [Fredericton, hasGreenSpace, Carleton Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carleton Park Context triple: [Fredericton, hasGreenSpace, Carleton Park]
-
A.
Courtland Park
Courtland Park is a public recreational park located in Reidsville, North Carolina.
-
B.
Moore Park
Moore Park is an inner-city suburb and major sporting and entertainment precinct in Sydney, New South Wales, Australia.
-
C.
Clarence Park
Clarence Park is a historic football ground and public park in St Albans, Hertfordshire, best known as the home of St Albans City Football Club.
-
D.
Normandie Park
Normandie Park is a neighborhood park in Central Los Angeles that provides local residents with green space and recreational facilities.
-
E.
Carlin Park
Carlin Park is a popular beachfront recreational park in Jupiter, Florida, known for its sandy shoreline, picnic areas, sports facilities, and outdoor amphitheater.
- 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: Carleton Park Triple: [Fredericton, hasGreenSpace, Carleton Park]
Generated description
Carleton Park is a riverside public park in Fredericton, New Brunswick, known for its scenic views, open green spaces, and recreational amenities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Carleton Park Target entity description: Carleton Park is a riverside public park in Fredericton, New Brunswick, known for its scenic views, open green spaces, and recreational amenities.
-
A.
Courtland Park
Courtland Park is a public recreational park located in Reidsville, North Carolina.
-
B.
Moore Park
Moore Park is an inner-city suburb and major sporting and entertainment precinct in Sydney, New South Wales, Australia.
-
C.
Clarence Park
Clarence Park is a historic football ground and public park in St Albans, Hertfordshire, best known as the home of St Albans City Football Club.
-
D.
Normandie Park
Normandie Park is a neighborhood park in Central Los Angeles that provides local residents with green space and recreational facilities.
-
E.
Carlin Park
Carlin Park is a popular beachfront recreational park in Jupiter, Florida, known for its sandy shoreline, picnic areas, sports facilities, and outdoor amphitheater.
- 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_69ab4ac558388190962492cd2e1b0ce6 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd8c2e3d88190a972f58356f282cc |
completed | March 7, 2026, 7:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af90a06c4c81908cc4dca65f2190bd |
completed | March 10, 2026, 3:31 a.m. |
| NEDg | Description generation | batch_69af92089ef48190bcc31106e98e3cdf |
completed | March 10, 2026, 3:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af927bb1d0819081ab11eb4470e28d |
completed | March 10, 2026, 3:39 a.m. |
Created at: March 6, 2026, 9:50 p.m.