Triple
T20970610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magnolia, Seattle |
E516481
|
entity |
| Predicate | hasPark |
P105
|
FINISHED |
| Object |
Lawton Park
Lawton Park is a neighborhood green space in Seattle’s Magnolia area, offering wooded trails, play areas, and views typical of the city’s residential parks.
|
E1461519
|
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: Lawton Park | Statement: [Magnolia, Seattle, hasPark, Lawton Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lawton Park Context triple: [Magnolia, Seattle, hasPark, Lawton Park]
-
A.
Courtland Park
Courtland Park is a public recreational park located in Reidsville, North Carolina.
-
B.
Woodruff Park
Woodruff Park is a central urban green space and public gathering spot in downtown Atlanta known for its lawns, fountains, and community events.
-
C.
Northgate Park
Northgate Park is a neighborhood green space in the Portsmouth area of Portland, Oregon, offering residents recreational facilities and open areas for community use.
-
D.
Northgate Park
Northgate Park is a public recreational park located in the city of Manteca, California.
-
E.
Lamont Park
Lamont Park is a neighborhood green space and community gathering spot located in the Mount Pleasant area of Washington, D.C.
- 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: Lawton Park Triple: [Magnolia, Seattle, hasPark, Lawton Park]
Generated description
Lawton Park is a neighborhood green space in Seattle’s Magnolia area, offering wooded trails, play areas, and views typical of the city’s residential parks.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lawton Park Target entity description: Lawton Park is a neighborhood green space in Seattle’s Magnolia area, offering wooded trails, play areas, and views typical of the city’s residential parks.
-
A.
Courtland Park
Courtland Park is a public recreational park located in Reidsville, North Carolina.
-
B.
Woodruff Park
Woodruff Park is a central urban green space and public gathering spot in downtown Atlanta known for its lawns, fountains, and community events.
-
C.
Northgate Park
Northgate Park is a neighborhood green space in the Portsmouth area of Portland, Oregon, offering residents recreational facilities and open areas for community use.
-
D.
Northgate Park
Northgate Park is a public recreational park located in the city of Manteca, California.
-
E.
Lamont Park
Lamont Park is a neighborhood green space and community gathering spot located in the Mount Pleasant area of Washington, D.C.
- 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_69e0b4fee5ac8190875fa9ceba1a5e5e |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fb9f53e88190847f93e0bbca6ea0 |
completed | April 21, 2026, 4:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a093b49c7248190874c35be3c0da4fd |
completed | May 17, 2026, 3:51 a.m. |
| NEDg | Description generation | batch_6a093cefdbec81909905a866b99e6c5b |
completed | May 17, 2026, 3:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a093d595f44819096effb5bead8713e |
completed | May 17, 2026, 4 a.m. |
Created at: April 16, 2026, 1:43 p.m.