Triple
T2527190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jerome Park Reservoir |
E56063
|
entity |
| Predicate | hasPerimeterFeature |
P6131
|
FINISHED |
| Object | perimeter walkway |
—
|
LITERAL FINISHED |
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: perimeter walkway | Statement: [Jerome Park Reservoir, hasPerimeterFeature, perimeter walkway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPerimeterFeature Context triple: [Jerome Park Reservoir, hasPerimeterFeature, perimeter walkway]
-
A.
hasBoundaryFeature
chosen
Indicates that a boundary (such as an edge, border, or limit) of one entity is characterized, marked, or defined by a specific feature or element.
-
B.
hasShoreFeature
Indicates that a shore or coastline possesses a specific physical or environmental feature.
-
C.
hasRouteFeature
Indicates that a route possesses or is associated with a specific characteristic, attribute, or feature.
-
D.
hasAreaType
Indicates that an entity is associated with a specific kind or classification of area (e.g., urban, rural, coastal).
-
E.
hasNeighborhoodAlong
Indicates that one entity has a neighboring area or region that extends along the boundary or length of another entity.
- F. None of above.
Provenance (3 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_69ab4a48e4f081908f1218d244608659 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd255f0d081908d20cfb812c4bfc1 |
completed | March 7, 2026, 7:23 a.m. |
| PD | Predicate disambiguation | batch_69abd0c2e34c8190a914d5c2afba147c |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:46 p.m.