Triple
T3225799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rideau River |
E67617
|
entity |
| Predicate | hasAdjacentParkland |
P13799
|
FINISHED |
| Object | Rideau River parks in Ottawa |
—
|
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: Rideau River parks in Ottawa | Statement: [Rideau River, hasAdjacentParkland, Rideau River parks in Ottawa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAdjacentParkland Context triple: [Rideau River, hasAdjacentParkland, Rideau River parks in Ottawa]
-
A.
hasParklandArea
Indicates that an entity possesses or includes a specified area of land designated as parkland.
-
B.
hasAdjacentMemorial
Indicates that one memorial is located directly next to or in close proximity to another memorial.
-
C.
hasParkDistrict
Indicates that an entity is associated with, located within, or administered by a specific park district.
-
D.
isUrbanParkAdjacent
chosen
Indicates that an urban park is directly next to or shares a boundary with another specified area or feature.
-
E.
hasNearbyStatePark
Indicates that a location is situated close to at least one designated state park.
- 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_69ad858c61888190a31196310d9b30b5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaeb4cd3481908af8a2c9b6c0742d |
completed | March 8, 2026, 5:15 p.m. |
| PD | Predicate disambiguation | batch_69ad9e0bb6c48190a0659c67d40ee37c |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:08 p.m.