Triple
T15701220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | former Umschlagplatz area |
E380596
|
entity |
| Predicate | functionDuringWWII |
P19660
|
FINISHED |
| Object | assembly point for Jews |
—
|
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: assembly point for Jews | Statement: [former Umschlagplatz area, functionDuringWWII, assembly point for Jews]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: functionDuringWWII Context triple: [former Umschlagplatz area, functionDuringWWII, assembly point for Jews]
-
A.
frontDuringWWII
Indicates that an entity served as a military front or active combat theater during World War II.
-
B.
statusDuringWorldWarII
chosen
Indicates the role, condition, or classification an entity had specifically during the period of World War II.
-
C.
duringWorldWar
Indicates that one entity’s action, state, or relationship occurred within the temporal span of World War II.
-
D.
sideInWorldWarII
Indicates that an entity was aligned with or participated on a particular side during World War II.
-
E.
higherCommandDuringWWII
Indicates that one entity served as the superior military authority or command over another entity during World War II.
- 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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4d6b5788190883746ee82c799f5 |
completed | April 16, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e0051d639481909a10614e8f83e659 |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:45 a.m.