Triple
T35610534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kremlin Presidium building |
E1029021
|
entity |
| Predicate | religiousPredecessorsDemolishedIn |
P78149
|
FINISHED |
| Object | 1929 |
—
|
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: 1929 | Statement: [Kremlin Presidium building, religiousPredecessorsDemolishedIn, 1929]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousPredecessorsDemolishedIn Context triple: [Kremlin Presidium building, religiousPredecessorsDemolishedIn, 1929]
-
A.
formerReligiousBuilding
Indicates that a building previously served a religious function but no longer does so.
-
B.
originalChurchDestroyed
chosen
Indicates that the initially established church building was demolished or ceased to exist, typically due to destruction rather than relocation or replacement.
-
C.
demolishedOriginalStructures
Indicates that one entity has completely destroyed or removed the original structures associated with another entity.
-
D.
demolishedWith
Indicates that one entity was destroyed or torn down using another specified tool, method, or agent.
-
E.
successorReligionAtSite
Indicates that one religion historically replaced or followed another as the primary religion practiced at a specific site.
- 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_69f76e0653ec81909b1b813c126c6574 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ffb82be8148190a1c870d467a28c80 |
completed | May 9, 2026, 10:41 p.m. |
| PD | Predicate disambiguation | batch_69ffb7bbd550819094052e9a0d0ae320 |
completed | May 9, 2026, 10:39 p.m. |
Created at: May 3, 2026, 4:05 p.m.