Triple
T19410367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valentine, New South Wales |
E485569
|
entity |
| Predicate | distanceToLakeShore |
P17985
|
FINISHED |
| Object | immediate proximity |
—
|
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: immediate proximity | Statement: [Valentine, New South Wales, distanceToLakeShore, immediate proximity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToLakeShore Context triple: [Valentine, New South Wales, distanceToLakeShore, immediate proximity]
-
A.
distanceToLakeErie
Indicates the measured or specified distance between a given entity or location and Lake Erie.
-
B.
hasNearbyLake
chosen
Indicates that one entity is located close to or in the vicinity of a lake.
-
C.
distanceToSaranacLake
Indicates the spatial distance between a given entity and Saranac Lake.
-
D.
hasNearbyLakeRegion
Indicates that one region is located close to a lake or lake-dominated area.
-
E.
distanceFromCoast
Indicates the measured spatial separation between a location and the nearest point on a coastline.
- 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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62af4cc0c81909056b5e2ee574ab1 |
completed | April 20, 2026, 1:32 p.m. |
| PD | Predicate disambiguation | batch_69e4fd68b1f881908d273de1fee81a75 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:37 p.m.