Triple
T3722002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Storm Detachment |
E81657
|
entity |
| Predicate | bannedInYear |
P25936
|
FINISHED |
| Object | 1945 |
—
|
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: 1945 | Statement: [Storm Detachment, bannedInYear, 1945]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bannedInYear Context triple: [Storm Detachment, bannedInYear, 1945]
-
A.
bannedAfter
Indicates that one entity becomes prohibited or forbidden only after the occurrence or establishment of another specified entity or event.
-
B.
bannedBy
Indicates that an entity is prohibited or disallowed as a result of a decision or action taken by another entity.
-
C.
bannedInCountry
Indicates that something is officially prohibited or not allowed within the jurisdiction of a specified country.
-
D.
banYear
chosen
Indicates the year in which a ban was enacted or came into effect on the related entity or activity.
-
E.
suppressionYear
Indicates the year in which the referenced activity, expression, or entity was formally suppressed, halted, or forcibly discontinued.
- 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_69ad8b1b7ef081908d2d381bbf54985a |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adca9d29208190bbf38a6aa88f954a |
completed | March 8, 2026, 7:14 p.m. |
| PD | Predicate disambiguation | batch_69adc0436e508190909ec4a3e8443aef |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:34 p.m.