Triple
T34865021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neue Rheinische Zeitung |
E1004985
|
entity |
| Predicate | legalStatusAtEnd |
P71730
|
FINISHED |
| Object | banned |
—
|
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: banned | Statement: [Neue Rheinische Zeitung, legalStatusAtEnd, banned]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalStatusAtEnd Context triple: [Neue Rheinische Zeitung, legalStatusAtEnd, banned]
-
A.
legalStatusEnd
chosen
Indicates the point or event at which a previously valid legal status, condition, or arrangement ceases to be in effect.
-
B.
legalStatusAfterEndTime
Indicates the legal status or condition that applies to an entity after a specified end time has passed.
-
C.
legalStatusAtIssue
Indicates that the legal status of an entity is the central subject of dispute, consideration, or determination in a legal context.
-
D.
legalStatusAtApproval
Indicates the legal status or classification an entity held at the time it was formally approved.
-
E.
legalStatusAfterEvent
Indicates the legal condition or classification an entity has as a result of a specified event or occurrence.
- 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_69f76dbb678081909a247b9b5e1a73ac |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff7bc112088190851501fb2a16103d |
completed | May 9, 2026, 6:24 p.m. |
| PD | Predicate disambiguation | batch_69ff7b45507c81909753866ad733601a |
completed | May 9, 2026, 6:21 p.m. |
Created at: May 3, 2026, 4 p.m.