Triple
T31789225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Зелёный мост |
E811414
|
entity |
| Predicate | популяренСреди |
P729
|
FINISHED |
| Object | туристы |
—
|
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: туристы | Statement: [Зелёный мост, популяренСреди, туристы]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: популяренСреди Context triple: [Зелёный мост, популяренСреди, туристы]
-
A.
isPopularAs
Indicates that an entity is widely liked, well-known, or favored in a particular role, context, or capacity.
-
B.
isPopularWith
chosen
Indicates that one entity is well-liked, favored, or widely accepted by another entity or group.
-
C.
isGloballyPopular
Indicates that something is widely recognized, liked, or used by people across many different countries or regions.
-
D.
isPopularAt
Indicates that an entity enjoys a high level of recognition, approval, or favor within a specified place, context, or time.
-
E.
subsequentlyPopularIn
Indicates that something became popular in a particular place, group, or context after an initial point in time or after another event.
- 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_69f348e60748819082dcaa7792659803 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6ac176b848190b9682ac08ea649e6 |
completed | May 3, 2026, 1:59 a.m. |
| PD | Predicate disambiguation | batch_69f6aa21f2508190a204a424ffc00ca6 |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 30, 2026, 11:38 p.m.