Triple
T18827743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glenside, Pennsylvania |
E460435
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
Harry Renninger Park
Harry Renninger Park is a local public park and recreational green space located in Glenside, Pennsylvania.
|
E1344600
|
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: Harry Renninger Park | Statement: [Glenside, Pennsylvania, hasLandmark, Harry Renninger Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harry Renninger Park Context triple: [Glenside, Pennsylvania, hasLandmark, Harry Renninger Park]
-
A.
Jeffrey Park
Jeffrey Park is a historic residential neighborhood and green space in Bexley, Ohio, known for its tree-lined streets and proximity to local schools and community amenities.
-
B.
James Park
James Park is an American technology entrepreneur best known as the co-founder and longtime CEO of the wearable fitness technology company Fitbit.
-
C.
Daniel Park
Daniel Park is a public recreational park located in Dayton, Texas.
-
D.
George Alexander Parks
George Alexander Parks was an American engineer and politician who served as the territorial governor of Alaska from 1925 to 1933.
-
E.
Harry Samuel Parks
Harry Samuel Parks is the birth name of American actor and singer Michael Parks, known for his roles in film and television from the 1960s onward.
- 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: Harry Renninger Park Triple: [Glenside, Pennsylvania, hasLandmark, Harry Renninger Park]
Generated description
Harry Renninger Park is a local public park and recreational green space located in Glenside, Pennsylvania.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Harry Renninger Park Target entity description: Harry Renninger Park is a local public park and recreational green space located in Glenside, Pennsylvania.
-
A.
Jeffrey Park
Jeffrey Park is a historic residential neighborhood and green space in Bexley, Ohio, known for its tree-lined streets and proximity to local schools and community amenities.
-
B.
James Park
James Park is an American technology entrepreneur best known as the co-founder and longtime CEO of the wearable fitness technology company Fitbit.
-
C.
Daniel Park
Daniel Park is a public recreational park located in Dayton, Texas.
-
D.
George Alexander Parks
George Alexander Parks was an American engineer and politician who served as the territorial governor of Alaska from 1925 to 1933.
-
E.
Harry Samuel Parks
Harry Samuel Parks is the birth name of American actor and singer Michael Parks, known for his roles in film and television from the 1960s onward.
- 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_69d8dcf94c288190a06dea029ae4b223 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a6bfa4a88190b17d3118121414be |
completed | April 20, 2026, 4:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a055bd216d881908bee50901656372e |
completed | May 14, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_6a0561e6500c8190b42d8257180ad7a6 |
completed | May 14, 2026, 5:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05623b880c81908fedf88e6a79ac31 |
completed | May 14, 2026, 5:48 a.m. |
Created at: April 10, 2026, 11:56 a.m.