Triple
T2158407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S.S. Wimbledon case |
E47944
|
entity |
| Predicate | reparationIssue |
P29037
|
FINISHED |
| Object | Germany was held responsible for wrongful denial of passage |
—
|
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: Germany was held responsible for wrongful denial of passage | Statement: [S.S. Wimbledon case, reparationIssue, Germany was held responsible for wrongful denial of passage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reparationIssue Context triple: [S.S. Wimbledon case, reparationIssue, Germany was held responsible for wrongful denial of passage]
-
A.
underlyingIssue
Indicates that one situation, problem, or condition is the fundamental cause or root problem behind another.
-
B.
involvesIssue
chosen
Indicates that an action, event, or entity is related to, concerns, or includes a particular issue.
-
C.
addressesIssue
Indicates that one entity deals with, responds to, or attempts to resolve a specific issue associated with another entity.
-
D.
issueType
Indicates the specific category or classification assigned to an issue within a tracking or management context.
-
E.
facingIssue
Indicates that an entity is currently experiencing, encountering, or dealing with a problem, difficulty, or obstacle.
- 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_69a88a1d1fd8819088b34990d69a712f |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abbe68fe0c8190beb5db003738a6e5 |
completed | March 7, 2026, 5:58 a.m. |
| PD | Predicate disambiguation | batch_69abbd9a60648190b20b116be5c7ad98 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:44 p.m.