Triple
T38374830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garden Village |
E893592
|
entity |
| Predicate | hasShorelineNearby |
P181693
|
FINISHED |
| Object | Lake Nipissing |
—
|
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: Lake Nipissing | Statement: [Garden Village, hasShorelineNearby, Lake Nipissing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasShorelineNearby Context triple: [Garden Village, hasShorelineNearby, Lake Nipissing]
-
A.
hasShoreNear
chosen
Indicates that one entity is located close enough to another entity’s shore or coastline to be considered nearby.
-
B.
hasNearbyCoast
Indicates that one location is situated close to a coastline or seashore.
-
C.
formsPartOfShorelineNear
Indicates that one entity constitutes a segment of the shoreline located in the vicinity of another entity.
-
D.
hasShoreOn
Indicates that one geographic entity borders or is directly adjacent to the shore of another body of water.
-
E.
hasShoreFeature
Indicates that a shore or coastline possesses a specific physical or environmental feature.
- 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_69f76e4b1f748190a380696a16eae4a2 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcec5f8b448190b48330a19b462d24 |
completed | May 7, 2026, 7:47 p.m. |
| PD | Predicate disambiguation | batch_69fceaf1e23881908ca24160a638e329 |
completed | May 7, 2026, 7:41 p.m. |
Created at: May 3, 2026, 4:31 p.m.