Triple
T29863496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neys, Ontario |
E758386
|
entity |
| Predicate | nearestProvincialPark |
P68781
|
FINISHED |
| Object | Neys Provincial 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: Neys Provincial Park | Statement: [Neys, Ontario, nearestProvincialPark, Neys Provincial Park]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearestProvincialPark Context triple: [Neys, Ontario, nearestProvincialPark, Neys Provincial Park]
-
A.
hasNearbyProvincialPark
chosen
Indicates that one entity is located close to, or in the vicinity of, a provincial park.
-
B.
nearestNationalParkEntrance
Indicates the relationship where a given location is associated with the closest entrance point of a national park.
-
C.
nearbyCountryPark
Indicates that a country park is located close to or within a short distance of a given reference place or area.
-
D.
nearestNationalParkHeadquarters
Indicates that one location is the closest national park headquarters to another specified place.
-
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_69f2245b4dec8190b85f664d918a00a5 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6c49627908190b3553474c7c3072b |
completed | May 3, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f23ae081909a52801266063a3c |
completed | May 3, 2026, 3:41 a.m. |
Created at: April 29, 2026, 5:50 p.m.