Triple
T25220022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Park Orchards |
E631934
|
entity |
| Predicate | nearbyParkland |
P71144
|
FINISHED |
| Object | Warrandyte State 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: Warrandyte State Park | Statement: [Park Orchards, nearbyParkland, Warrandyte State Park]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearbyParkland Context triple: [Park Orchards, nearbyParkland, Warrandyte State Park]
-
A.
largestNearbyPark
Indicates that one entity is the park which is both near another entity and is the largest among all such nearby parks.
-
B.
nearRetailPark
Indicates that one entity is located close to or in the immediate vicinity of a retail park.
-
C.
isNeighborhoodParkOf
Indicates that a park is located within and serves as a local recreational area for a specific neighborhood.
-
D.
nearbyCountryPark
Indicates that a country park is located close to or within a short distance of a given reference place or area.
-
E.
hasParklandNearby
chosen
Indicates that a location or property is situated close to an area of parkland or green space.
- 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_69e75a8e0f688190a7aebe9a4815e25b |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f65f7731e4819099d5bd3d915ee266 |
completed | May 2, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f65c1f94ac8190bc6fbc7916fc0d82 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 21, 2026, 1:02 p.m.