Triple
T31612697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Площадь Победы |
E806668
|
entity |
| Predicate | hasUndergroundMemorialOpened |
P184618
|
FINISHED |
| Object | 1985 год |
—
|
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: 1985 год | Statement: [Площадь Победы, hasUndergroundMemorialOpened, 1985 год]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUndergroundMemorialOpened Context triple: [Площадь Победы, hasUndergroundMemorialOpened, 1985 год]
-
A.
memorialOpenedInYear
Indicates that a memorial was officially opened or inaugurated in a specified calendar year.
-
B.
memorialOpeningDate
Indicates the calendar date on which a memorial was formally opened or inaugurated.
-
C.
memorialOpenedBy
Indicates that a particular person or organization formally inaugurated or conducted the opening of a memorial.
-
D.
hasMemorial
Indicates that a memorial exists in honor of, or dedicated to, a particular entity.
-
E.
hasMemorialContext
Indicates that something is related to, associated with, or situated within the context of a memorial or commemorative setting.
- 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_69f348d61f2081908cad94bc9ffbb671 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f7b365288c8190bcb11fcfba028737 |
completed | May 3, 2026, 8:43 p.m. |
| PD | Predicate disambiguation | batch_69f7b1b8a9fc8190a1279e67a2d12707 |
completed | May 3, 2026, 8:36 p.m. |
| PDg | Predicate description generation | batch_69f7b2f2b9ac8190aa05b8a1aa18ec2d |
completed | May 3, 2026, 8:41 p.m. |
Created at: April 30, 2026, 10:37 p.m.