Triple
T32515674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Сенатская площадь |
E831053
|
entity |
| Predicate | ориентирДля |
P174537
|
FINISHED |
| Object | туристические экскурсии по центру Санкт-Петербурга |
—
|
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: туристические экскурсии по центру Санкт-Петербурга | Statement: [Сенатская площадь, ориентирДля, туристические экскурсии по центру Санкт-Петербурга]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ориентирДля Context triple: [Сенатская площадь, ориентирДля, туристические экскурсии по центру Санкт-Петербурга]
-
A.
ориентация
Indicates the spatial or directional alignment of one entity relative to another or to a reference frame.
-
B.
planningOrientation
Indicates how an entity approaches, prioritizes, and structures planning activities or future-oriented decision-making.
-
C.
orientation
Indicates the relative directional alignment or facing of one entity with respect to another or to a reference frame.
-
D.
orientedFrom
Indicates that one entity has a defined direction or orientation starting at or determined by another reference entity.
-
E.
reorientedFor
Indicates that one entity has been adjusted or redirected in position, alignment, or focus specifically to suit, target, or accommodate another entity.
- 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_69f3492318348190ba37fb6b5f1d67f4 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c4a2e4cc81909158364159fac689 |
completed | May 3, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2a14b081908162923dfbf0a6f4 |
completed | May 3, 2026, 3:12 a.m. |
| PDg | Predicate description generation | batch_69f6c1b666188190ac43c3011a7df048 |
completed | May 3, 2026, 3:32 a.m. |
Created at: May 1, 2026, 1 a.m.