Triple
T6544011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Redlands |
E168359
|
entity |
| Predicate | hasPublicSpace |
P105
|
FINISHED |
| Object |
Smiley Park
Smiley Park is a public park in Redlands, California, known as a local community green space for recreation and events.
|
E749786
|
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: Smiley Park | Statement: [Redlands, hasPublicSpace, Smiley Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Smiley Park Context triple: [Redlands, hasPublicSpace, Smiley Park]
-
A.
Hurley Park
Hurley Park is a public garden and recreational green space located in Salisbury, North Carolina.
-
B.
Reverchon Park
Reverchon Park is a historic urban park in Dallas, Texas, known for its recreational facilities, green spaces, and proximity to the popular Katy Trail.
-
C.
Pascone Park
Pascone Park is a local public park in the village of Ardsley, New York, offering recreational green space and community amenities for residents.
-
D.
Sheehan Park
Sheehan Park is a public recreational park in Sun Prairie, Wisconsin, featuring open green spaces, sports facilities, and community amenities for local residents and visitors.
-
E.
Meriken Park
Meriken Park is a waterfront park and popular tourist spot in Kobe, Japan, known for its modern architecture, harbor views, and landmarks like the Kobe Port Tower and the Kobe Maritime Museum.
- 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: Smiley Park Triple: [Redlands, hasPublicSpace, Smiley Park]
Generated description
Smiley Park is a public park in Redlands, California, known as a local community green space for recreation and events.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Smiley Park Target entity description: Smiley Park is a public park in Redlands, California, known as a local community green space for recreation and events.
-
A.
Hurley Park
Hurley Park is a public garden and recreational green space located in Salisbury, North Carolina.
-
B.
Reverchon Park
Reverchon Park is a historic urban park in Dallas, Texas, known for its recreational facilities, green spaces, and proximity to the popular Katy Trail.
-
C.
Pascone Park
Pascone Park is a local public park in the village of Ardsley, New York, offering recreational green space and community amenities for residents.
-
D.
Sheehan Park
Sheehan Park is a public recreational park in Sun Prairie, Wisconsin, featuring open green spaces, sports facilities, and community amenities for local residents and visitors.
-
E.
Meriken Park
Meriken Park is a waterfront park and popular tourist spot in Kobe, Japan, known for its modern architecture, harbor views, and landmarks like the Kobe Port Tower and the Kobe Maritime Museum.
- 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_69c68a51564081909e93aee0dbd9cca3 |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6adece74c819095f3f800d5623ad2 |
completed | March 27, 2026, 4:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cecc01e1b88190817a73e580cf4f03 |
completed | April 2, 2026, 8:05 p.m. |
| NEDg | Description generation | batch_69ced05d98e481909607fd51883cd123 |
completed | April 2, 2026, 8:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ced0e42edc8190af4fa07942d00e6b |
completed | April 2, 2026, 8:26 p.m. |
Created at: March 27, 2026, 1:50 p.m.