Triple
T15523105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lenin Memorial Museum |
E369015
|
entity |
| Predicate | dedicatedToPeriod |
P4343
|
FINISHED |
| Object | late 19th century Russia |
—
|
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: late 19th century Russia | Statement: [Lenin Memorial Museum, dedicatedToPeriod, late 19th century Russia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dedicatedToPeriod Context triple: [Lenin Memorial Museum, dedicatedToPeriod, late 19th century Russia]
-
A.
dedicationPeriod
Indicates the span of time during which something is formally devoted, committed, or reserved to a particular purpose, cause, or entity.
-
B.
refersToPeriod
chosen
Indicates that one entity designates, references, or is associated with a specific time period or interval.
-
C.
oftenDedicatedTo
Indicates that something is frequently or habitually devoted, assigned, or committed to a particular purpose, activity, or recipient.
-
D.
dedicated
Indicates that one entity is formally assigned, reserved, or committed for the specific use, benefit, or purpose of another entity.
-
E.
partOfWorkPeriod
Indicates that a specific time span is contained within, and belongs to, a larger defined work period.
- 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_69d85a1794cc8190b0b428716296e63e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e04143bda08190a2dee44918c1ad1c |
completed | April 16, 2026, 1:54 a.m. |
| PD | Predicate disambiguation | batch_69ded28ab0588190a47a9090d1238707 |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 4:04 a.m.