Triple
T29994775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prague Uprising Memorial in Prague |
E761988
|
entity |
| Predicate | eventTimeCommemorated |
P18981
|
FINISHED |
| Object | final days of World War II |
—
|
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: final days of World War II | Statement: [Prague Uprising Memorial in Prague, eventTimeCommemorated, final days of World War II]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eventTimeCommemorated Context triple: [Prague Uprising Memorial in Prague, eventTimeCommemorated, final days of World War II]
-
A.
timeOfEventCommemorated
chosen
Indicates the specific time or date at which the event being commemorated originally occurred.
-
B.
commemoratesEventOn
Indicates that one entity marks, honors, or observes a specific event on a particular date or occasion.
-
C.
commemorativeEvent
Indicates an event held specifically to honor, remember, or mark the significance of a person, group, or past occurrence.
-
D.
commemoratesEventWith
Indicates that one entity serves as a memorial or tribute to a specific event, marking or honoring its occurrence.
-
E.
commemoratedOn
Indicates that something is remembered, honored, or celebrated on a specific date or occasion.
- 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_69f224695498819094a81037cad401e2 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6abaa1f648190b77073771df3bf3b |
completed | May 3, 2026, 1:58 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1e84b88190b025f6ca40f17a8a |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 29, 2026, 6:39 p.m.