Triple
T3060340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nazi occupation of the Netherlands |
E60580
|
entity |
| Predicate | dateOfHungerWinter |
P44861
|
FINISHED |
| Object | winter of 1944–1945 |
—
|
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: winter of 1944–1945 | Statement: [Nazi occupation of the Netherlands, dateOfHungerWinter, winter of 1944–1945]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateOfHungerWinter Context triple: [Nazi occupation of the Netherlands, dateOfHungerWinter, winter of 1944–1945]
-
A.
timeInWinter
Indicates that the specified time interval occurs during the winter season.
-
B.
winterAscentFirstDate
Indicates the calendar date on which the first successful winter ascent of something (such as a route, peak, or wall) took place.
-
C.
coldestSeason
Indicates the season during which a place or region experiences its lowest typical temperatures compared to other seasons.
-
D.
winterStatus
Indicates the condition, phase, or circumstances associated with the winter season for a given entity or context.
-
E.
wintersIn
Indicates that an entity spends the winter season in a particular place or region.
- 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_69ad8578137c81908259dcb27c7d6d7c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ad9e9cf9188190b43f50edc009030d |
completed | March 8, 2026, 4:06 p.m. |
| PD | Predicate disambiguation | batch_69ad962326e081909d5521c3d3ea3158 |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad97f6af3881909f4547967384114c |
completed | March 8, 2026, 3:38 p.m. |
Created at: March 8, 2026, 3:02 p.m.