Triple
T19112427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Wyoming, Michigan |
E467819
|
entity |
| Predicate | hasPark |
P105
|
FINISHED |
| Object | Lamar Park |
—
|
NE NERFINISHED |
How this triple was built (2 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: Lamar Park | Statement: [City of Wyoming, Michigan, hasPark, Lamar Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lamar Park Context triple: [City of Wyoming, Michigan, hasPark, Lamar Park]
-
A.
Lamar Park
chosen
Lamar Park is a public recreational park located in Wyoming, Michigan, offering outdoor spaces and amenities for community activities and leisure.
-
B.
Lamar City Park
Lamar City Park is a public recreational park in Lamar, Missouri, offering outdoor green space and community amenities for local residents and visitors.
-
C.
Milam Park
Milam Park is a public recreational park located in Clarkston, Georgia, offering outdoor green space and community amenities for local residents.
-
D.
Klyde Warren Park
Klyde Warren Park is a popular urban green space built over a freeway in downtown Dallas, known for its lawns, food trucks, events, and connection between the city’s Arts District and Uptown.
-
E.
Houston Park
Houston Park is a public recreational park located in Wallingford, Pennsylvania.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd06a26481908039e2a1bae8c597 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e39553708190b64e24e1d190833e |
completed | April 20, 2026, 8:28 a.m. |
Created at: April 10, 2026, 12:05 p.m.