Triple
T37667460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Action of 23 November 1939 |
E937858
|
entity |
| Predicate | GermanShipRole |
P188525
|
FINISHED |
| Object | capital ships on raiding mission |
—
|
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: capital ships on raiding mission | Statement: [Action of 23 November 1939, GermanShipRole, capital ships on raiding mission]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: GermanShipRole Context triple: [Action of 23 November 1939, GermanShipRole, capital ships on raiding mission]
-
A.
GermanShipFate
Indicates the ultimate outcome or disposition of a German ship, such as whether it was sunk, captured, scuttled, or otherwise ended its service.
-
B.
GermanShipUndamaged
Indicates that a German ship remains intact and has not sustained damage.
-
C.
shipTypeSunk
Indicates that a particular type of ship has been sunk as a result of some event or action.
-
D.
isWarshipOf
Indicates that a given warship belongs to, is operated by, or is part of the naval forces of a specified country or organization.
-
E.
FrenchShipType
Indicates that something is classified as a type of ship associated with France, such as by origin, design, or service.
- 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_69f76ed6df7c8190b018e5baea716ceb |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbaa19e4a88190b04f26c0d4e708fd |
completed | May 6, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69fba887821c8190ae93ef1dd389e9c8 |
completed | May 6, 2026, 8:45 p.m. |
| PDg | Predicate description generation | batch_69fba9ddef488190b785d332580650f0 |
completed | May 6, 2026, 8:51 p.m. |
Created at: May 3, 2026, 4:18 p.m.