Triple
T10948921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | bitwa pod Kutnem |
E258672
|
entity |
| Predicate | teatrDziałań |
P33209
|
FINISHED |
| Object | front polski II wojny światowej |
—
|
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: front polski II wojny światowej | Statement: [bitwa pod Kutnem, teatrDziałań, front polski II wojny światowej]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teatrDziałań Context triple: [bitwa pod Kutnem, teatrDziałań, front polski II wojny światowej]
-
A.
theatreOf
chosen
Indicates that an event, action, or operation takes place within or is primarily associated with a particular theatre or venue.
-
B.
theaterWork
Indicates a relationship where an entity is a theatrical work (such as a play or stage production) associated with another entity, typically as its subject, creator, or context.
-
C.
theaterProduction
Indicates a relationship where a theatrical work is produced or staged, typically linking the production event to the play, venue, or organizing entity.
-
D.
theatre
Indicates that an entity is a theater or is associated with theatrical performances or activities.
-
E.
theater
Indicates that an entity is a theater or is functioning in the role of a theater (a venue where performances or films are shown).
- 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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770ec7028819084f5ce2035a128e4 |
completed | April 9, 2026, 9:27 a.m. |
| PD | Predicate disambiguation | batch_69d72e816a98819096d6c10dfb88a66a |
completed | April 9, 2026, 4:43 a.m. |
Created at: April 8, 2026, 9:23 p.m.