Triple
T2027456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leon Trotsky Museum |
E44440
|
entity |
| Predicate | preservesAsTimeOf |
P34706
|
FINISHED |
| Object | Leon Trotsky's death |
—
|
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: Leon Trotsky's death | Statement: [Leon Trotsky Museum, preservesAsTimeOf, Leon Trotsky's death]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: preservesAsTimeOf Context triple: [Leon Trotsky Museum, preservesAsTimeOf, Leon Trotsky's death]
-
A.
associatedWithTime
Indicates a relationship where something is linked or connected to a specific point or period in time.
-
B.
preservationFactor
Indicates the degree to which something is protected, maintained, or kept intact over time, often moderating how much change, loss, or degradation occurs.
-
C.
representsTimeIn
Indicates that one entity expresses, encodes, or specifies the time at which another entity occurs, is valid, or is observed.
-
D.
preservedAt
Indicates that something is kept, maintained, or conserved in a particular place or context.
-
E.
preservesFeature
Indicates that one entity maintains or keeps intact a particular feature, property, or characteristic of another entity during some process or interaction.
- 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_69a889144f2481909932f0746a93023d |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb911e5dc819097e40af0da4d01e7 |
completed | March 7, 2026, 5:35 a.m. |
| PD | Predicate disambiguation | batch_69abb7a656248190ac2ced196b35bc6b |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abb85fe7a08190b991b1f23bc34f93 |
completed | March 7, 2026, 5:32 a.m. |
Created at: March 4, 2026, 7:38 p.m.