Triple
T6885450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Exton, Pennsylvania |
E158905
|
entity |
| Predicate | hasPark |
P105
|
FINISHED |
| Object |
Exton Park
Exton Park is a public recreational park in Exton, Pennsylvania, featuring open green spaces, walking trails, and community amenities.
|
E625202
|
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: Exton Park | Statement: [Exton, Pennsylvania, hasPark, Exton Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Exton Park Context triple: [Exton, Pennsylvania, hasPark, Exton Park]
-
A.
Courtland Park
Courtland Park is a public recreational park located in Reidsville, North Carolina.
-
B.
Eldridge Park
Eldridge Park is a historic amusement and recreation park in Elmira, New York, known for its classic rides, lakeside setting, and family-friendly attractions.
-
C.
Harleman Park
Harleman Park is a local public park in Cornelius, Oregon, offering outdoor recreational space for residents and visitors.
-
D.
Downing Park
Downing Park is a historic public park in Newburgh, New York, designed in the late 19th century by landscape architects Frederick Law Olmsted and Calvert Vaux.
-
E.
Woodward Park
Woodward Park is a public recreational park in Manteca, California, featuring open green spaces, sports facilities, and family-friendly amenities.
- 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: Exton Park Triple: [Exton, Pennsylvania, hasPark, Exton Park]
Generated description
Exton Park is a public recreational park in Exton, Pennsylvania, featuring open green spaces, walking trails, and community amenities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Exton Park Target entity description: Exton Park is a public recreational park in Exton, Pennsylvania, featuring open green spaces, walking trails, and community amenities.
-
A.
Courtland Park
Courtland Park is a public recreational park located in Reidsville, North Carolina.
-
B.
Eldridge Park
Eldridge Park is a historic amusement and recreation park in Elmira, New York, known for its classic rides, lakeside setting, and family-friendly attractions.
-
C.
Harleman Park
Harleman Park is a local public park in Cornelius, Oregon, offering outdoor recreational space for residents and visitors.
-
D.
Downing Park
Downing Park is a historic public park in Newburgh, New York, designed in the late 19th century by landscape architects Frederick Law Olmsted and Calvert Vaux.
-
E.
Woodward Park
Woodward Park is a public recreational park in Manteca, California, featuring open green spaces, sports facilities, and family-friendly amenities.
- 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_69c688342f6c8190ad7eea6ba262db99 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d90bc32c8190baf5bf785146f3e8 |
completed | March 27, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c742dc8d608190b2a8e9c1f46e1420 |
completed | March 28, 2026, 2:54 a.m. |
| NEDg | Description generation | batch_69c743b2bcb881908341bce7a90e16c3 |
completed | March 28, 2026, 2:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7444e57a881908808a4bd96505048 |
completed | March 28, 2026, 3 a.m. |
Created at: March 27, 2026, 2:23 p.m.