Triple
T38377849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Дворцовый мост |
E893673
|
entity |
| Predicate | ведётК |
P153000
|
FINISHED |
| Object | Дворцовая площадь |
—
|
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: Дворцовая площадь | Statement: [Дворцовый мост, ведётК, Дворцовая площадь]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ведётК Context triple: [Дворцовый мост, ведётК, Дворцовая площадь]
-
A.
goesTo
Indicates that one entity moves or travels from its current location to another specified location or entity.
-
B.
trägtBeiZu
Indicates that one entity contributes to, promotes, or plays a role in bringing about a certain state, effect, or outcome in another.
-
C.
directedTo
Indicates that something is sent, aimed, or addressed toward a particular target or recipient.
-
D.
vei
Indicates a relationship where one entity is visually perceiving or looking at another entity.
-
E.
routeOf
chosen
Indicates that one entity is the path, course, or trajectory taken or followed by another entity (such as a vehicle, shipment, or signal).
- 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_69fcd1499e2c81909bafd84dc4810f45 |
completed | May 7, 2026, 5:52 p.m. |
| PD | Predicate disambiguation | batch_69fcccf024ec819086383ffbb6cfc036 |
completed | May 7, 2026, 5:33 p.m. |
Created at: May 3, 2026, 4:31 p.m.