Triple
T30254767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walter Saunders Memorial Park |
E769308
|
entity |
| Predicate | isNeighbourhoodParkOf |
P162196
|
FINISHED |
| Object | Briar Hill–Belgravia |
—
|
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: Briar Hill–Belgravia | Statement: [Walter Saunders Memorial Park, isNeighbourhoodParkOf, Briar Hill–Belgravia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNeighbourhoodParkOf Context triple: [Walter Saunders Memorial Park, isNeighbourhoodParkOf, Briar Hill–Belgravia]
-
A.
isNeighborhoodParkOf
chosen
Indicates that a park is located within and serves as a local recreational area for a specific neighborhood.
-
B.
isUrbanParkAdjacent
Indicates that an urban park is directly next to or shares a boundary with another specified area or feature.
-
C.
locatedInParkVicinity
Indicates that an entity is situated in the area immediately surrounding or near a park.
-
D.
nearRetailPark
Indicates that one entity is located close to or in the immediate vicinity of a retail park.
-
E.
hasNearbyProvincialPark
Indicates that one entity is located close to, or in the vicinity of, a provincial 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_69f224831dc08190b2e569b987264057 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6807e374881909a0c7edfde2e8f35 |
completed | May 2, 2026, 10:53 p.m. |
| PD | Predicate disambiguation | batch_69f6760216108190bbb708d53a6c2c25 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 29, 2026, 7:41 p.m.