Triple
T38418569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Near East Air Transport |
E903165
|
entity |
| Predicate | roleInOperationMagicCarpet |
P56870
|
FINISHED |
| Object | transporting Jewish refugees to Israel |
—
|
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: transporting Jewish refugees to Israel | Statement: [Near East Air Transport, roleInOperationMagicCarpet, transporting Jewish refugees to Israel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInOperationMagicCarpet Context triple: [Near East Air Transport, roleInOperationMagicCarpet, transporting Jewish refugees to Israel]
-
A.
roleInOperation
chosen
Indicates that an entity holds a specific function, duty, or position within a particular operation or activity.
-
B.
roleInOperationTorch
Indicates that an entity participated in or held a specific role in Operation Torch, the Allied invasion of North Africa during World War II.
-
C.
roleInOperationReinhard
Indicates that an entity held a specific role or participated in some capacity in Operation Reinhard, the Nazi plan to exterminate Jews in occupied Poland during the Holocaust.
-
D.
roleInMATE
Indicates that an entity participates in a MATE (Modeling and Analysis of Telecommunication Systems) context with a specific functional or contextual role.
-
E.
roleInEngine
Indicates the specific function or responsibility an entity has within an engine or engine-like system.
- 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_69f76e67e4fc8190a7d08dfe9a8af998 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a033029023481909d9fa4a76b954879 |
completed | May 12, 2026, 1:50 p.m. |
| PD | Predicate disambiguation | batch_6a032d9f1fa48190bd1c94a8f930d02c |
completed | May 12, 2026, 1:39 p.m. |
Created at: May 3, 2026, 4:31 p.m.