Triple
T25628409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poniatowa |
E642503
|
entity |
| Predicate | hasCampOperator |
P167720
|
FINISHED |
| Object | Nazi Germany |
—
|
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: Nazi Germany | Statement: [Poniatowa, hasCampOperator, Nazi Germany]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCampOperator Context triple: [Poniatowa, hasCampOperator, Nazi Germany]
-
A.
hasCampType
Indicates that an entity is associated with or classified by a particular type or category of camp.
-
B.
hasParkOperator
Indicates that a park is operated or managed by a specific organization or individual.
-
C.
hasCinemaOperator
Indicates that a cinema is operated, managed, or run by a specific organization or individual.
-
D.
hasCampName
Indicates that an entity is associated with or identified by a specific camp name.
-
E.
hasBusOperator
Indicates that a bus service, route, or vehicle is operated or managed by a specific operator or company.
- 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_69e77e7bd4548190a0c691b8a2f27ff1 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f66cf092c881908d7034c9c2bc61d5 |
completed | May 2, 2026, 9:30 p.m. |
| PD | Predicate disambiguation | batch_69f66abddc448190a488852f8abdeb2c |
completed | May 2, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69f66c59de9881909ebbb7b0ae7ab495 |
completed | May 2, 2026, 9:27 p.m. |
Created at: April 21, 2026, 5:16 p.m.