Triple
T1420373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Griboyedov Canal |
E30209
|
entity |
| Predicate | waterwayThrough |
P27579
|
FINISHED |
| Object | central Saint Petersburg |
—
|
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: central Saint Petersburg | Statement: [Griboyedov Canal, waterwayThrough, central Saint Petersburg]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterwayThrough Context triple: [Griboyedov Canal, waterwayThrough, central Saint Petersburg]
-
A.
waterwayServed
Indicates that a place, facility, or infrastructure is served by, connected to, or functionally supported by a particular waterway.
-
B.
waterwayClass
Indicates the classification or type of a waterway based on its navigational, functional, or physical characteristics.
-
C.
waterwaySystem
Indicates that one entity is part of, or belongs to, a connected network of waterways associated with another entity.
-
D.
transportsWaterTo
Indicates that one entity carries or conveys water from its location or source to another entity or destination.
-
E.
waterwayJunction
Indicates a point where two or more waterways meet, intersect, or branch from one another.
- F. None of above. chosen
Provenance (4 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_69a498fb823c8190a67ce4c4837e641a |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c40764ec8190b85de6befcb20dda |
completed | March 1, 2026, 10:56 p.m. |
| PD | Predicate disambiguation | batch_69a4bf060b0081909ba00e6ac093a28b |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4c06721488190ac7f6e012f21af3d |
completed | March 1, 2026, 10:40 p.m. |
Created at: March 1, 2026, 7:59 p.m.