Triple
T24228119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ležáky |
E601650
|
entity |
| Predicate | similarEvent |
P155277
|
FINISHED |
| Object | Lidice massacre |
—
|
NE NERFINISHED |
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: Lidice massacre | Statement: [Ležáky, similarEvent, Lidice massacre]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: similarEvent Context triple: [Ležáky, similarEvent, Lidice massacre]
-
A.
similarSeries
Indicates that two series share notable similarities in content, style, or characteristics.
-
B.
laterRelatedEvent
Indicates that one event is temporally related to another by occurring at a later time.
-
C.
significantConcurrentEvent
Indicates that another event occurs at the same time and is of notable or meaningful importance in relation to the referenced event.
-
D.
alternativeEvent
Indicates that one event serves as an alternative or substitute option to another event within the same context.
-
E.
associatedEventType
Indicates that one entity is linked to another by the type or category of event with which it is associated.
- 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_69e29538aafc8190a2386fdebbd1393b |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f287e11e188190bd257f24cb593039 |
completed | April 29, 2026, 10:36 p.m. |
| PD | Predicate disambiguation | batch_69f1c448abec8190b87cbf9ed419a309 |
completed | April 29, 2026, 8:41 a.m. |
| PDg | Predicate description generation | batch_69f1c6d4e99081909f61899eccafb73e |
completed | April 29, 2026, 8:52 a.m. |
Created at: April 18, 2026, 12:01 a.m.