Triple
T11347162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Upland, California |
E268744
|
entity |
| Predicate | park |
P5641
|
FINISHED |
| Object |
Greenbelt Park
Greenbelt Park is a public recreational green space located in Upland, California.
|
E920110
|
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: Greenbelt Park | Statement: [Upland, California, park, Greenbelt Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greenbelt Park Context triple: [Upland, California, park, Greenbelt Park]
-
A.
Greenbelt Park
Greenbelt Park is a wooded national park in Greenbelt, Maryland, offering camping, hiking, and other outdoor recreation just outside Washington, D.C.
-
B.
Woodward Park
Woodward Park is a public recreational park in Manteca, California, featuring open green spaces, sports facilities, and family-friendly amenities.
-
C.
Bushey Grove
Bushey Grove is a designated Local Nature Reserve in Bushey, Hertfordshire, providing protected green space for wildlife and public enjoyment.
-
D.
Courtland Park
Courtland Park is a public recreational park located in Reidsville, North Carolina.
-
E.
Greenbelt Town
Greenbelt Town is a planned community in Greenbelt, Maryland, originally developed as a New Deal-era federal housing project.
- 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: Greenbelt Park Triple: [Upland, California, park, Greenbelt Park]
Generated description
Greenbelt Park is a public recreational green space located in Upland, California.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Greenbelt Park Target entity description: Greenbelt Park is a public recreational green space located in Upland, California.
-
A.
Greenbelt Park
Greenbelt Park is a wooded national park in Greenbelt, Maryland, offering camping, hiking, and other outdoor recreation just outside Washington, D.C.
-
B.
Woodward Park
Woodward Park is a public recreational park in Manteca, California, featuring open green spaces, sports facilities, and family-friendly amenities.
-
C.
Bushey Grove
Bushey Grove is a designated Local Nature Reserve in Bushey, Hertfordshire, providing protected green space for wildlife and public enjoyment.
-
D.
Courtland Park
Courtland Park is a public recreational park located in Reidsville, North Carolina.
-
E.
Greenbelt Town
Greenbelt Town is a planned community in Greenbelt, Maryland, originally developed as a New Deal-era federal housing project.
- 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_69d6aacbe18081909e5fadb50082dd96 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea214bb88190bb66f7fd3ef73081 |
completed | April 9, 2026, 6:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5437fb1208190892fa6b05c92478e |
completed | April 19, 2026, 9:05 p.m. |
| NEDg | Description generation | batch_69e548bb7be4819093aeeaf0c048033e |
completed | April 19, 2026, 9:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e54eeba4a88190af128a99c277853a |
completed | April 19, 2026, 9:53 p.m. |
Created at: April 8, 2026, 9:33 p.m.