Triple
T13686832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antoni Ponikowski |
E328150
|
entity |
| Predicate | politicalRoleDuring |
P73505
|
FINISHED |
| Object | period surrounding World War I |
—
|
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: period surrounding World War I | Statement: [Antoni Ponikowski, politicalRoleDuring, period surrounding World War I]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: politicalRoleDuring Context triple: [Antoni Ponikowski, politicalRoleDuring, period surrounding World War I]
-
A.
periodOfKeyPoliticalRole
chosen
Indicates the time span during which an entity held a particular key political role or office.
-
B.
politicalOrSocialRole
Indicates that an entity holds or is associated with a specific political or social position, function, or status within a group or society.
-
C.
hasPoliticalRole
Indicates that an entity holds, has held, or is assigned a specific political office, function, or position in relation to another entity or context.
-
D.
servedInRole
Indicates that one entity performed duties or held a position within a specified role or office in relation to another entity.
-
E.
namedForPoliticalRole
Indicates that one entity is named after another entity specifically because of that entity’s political office, position, or role.
- 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc670968881908e2b4fdf656c7285 |
completed | April 12, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69dbbe9059488190a8113177c83e1481 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:53 p.m.