Triple
T21298936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ravenna |
E525002
|
entity |
| Predicate | hasPark |
P105
|
FINISHED |
| Object | Cowen 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: Cowen Park | Statement: [Ravenna, hasPark, Cowen Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cowen Park Context triple: [Ravenna, hasPark, Cowen Park]
-
A.
Cowen Park
chosen
Cowen Park is a wooded urban park in Seattle, Washington, known for its ravine, trails, and green space near the University of Washington.
-
B.
Curran Park
Curran Park is a public recreational area in the seaside resort town of Portrush in Northern Ireland, offering green space and amenities for visitors and locals.
-
C.
Brechtel Park
Brechtel Park is a public green space and recreational park located in the Algiers area on the West Bank of New Orleans.
-
D.
Bohrer Park
Bohrer Park is a public recreational park in Gaithersburg, Maryland, featuring amenities such as sports fields, walking paths, and family-friendly facilities.
-
E.
Oleson Park
Oleson Park is a public recreational park in Fort Dodge, Iowa, known for its green spaces, trails, and community amenities.
- 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_69e0b517e6748190850d6f6ddf323d69 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7385a24d08190bfd410c7f10fa6f7 |
completed | April 21, 2026, 8:42 a.m. |
Created at: April 16, 2026, 4:05 p.m.