Triple
T12579352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pont de Lancy |
E300292
|
entity |
| Predicate | riverBankRegion |
P101104
|
FINISHED |
| Object | left and right banks of the Arve River near Lancy |
—
|
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: left and right banks of the Arve River near Lancy | Statement: [Pont de Lancy, riverBankRegion, left and right banks of the Arve River near Lancy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: riverBankRegion Context triple: [Pont de Lancy, riverBankRegion, left and right banks of the Arve River near Lancy]
-
A.
riverBankArea
chosen
Indicates the area of land adjacent to a riverbank associated with the given entity or location.
-
B.
riverBankOnEastSide
Indicates that a river bank is located on the eastern side of a river or watercourse.
-
C.
riverRegion
Indicates that a river is located within, flows through, or is otherwise geographically associated with a particular region.
-
D.
region1
Indicates that one entity is the first or primary region associated with, containing, or encompassing another entity.
-
E.
betweenRiver
Indicates a spatial relationship where something is located in the area separating two rivers or lies in the intermediate region defined by them.
- 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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954e6e20481908bca684c4b497c48 |
completed | April 10, 2026, 7:52 p.m. |
| PD | Predicate disambiguation | batch_69d95416cbd88190b2c65196162349bc |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 9, 2026, 5 p.m.