Triple
T11120211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Order of Vasa |
E262994
|
entity |
| Predicate | statusAfterReform |
P73816
|
FINISHED |
| Object | reinstated as a state order |
—
|
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: reinstated as a state order | Statement: [Order of Vasa, statusAfterReform, reinstated as a state order]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusAfterReform Context triple: [Order of Vasa, statusAfterReform, reinstated as a state order]
-
A.
legalStatusAfterReform
chosen
Indicates the legal status or condition an entity holds following the implementation of a specific reform or legal change.
-
B.
statusAfter1996
Indicates the status or condition of an entity as it exists after the year 1996.
-
C.
statusAfter1994
Indicates the status or condition of an entity specifically in the period after the year 1994.
-
D.
positionOnReform
Indicates a stance or viewpoint that an entity holds regarding a particular reform or set of reforms.
-
E.
statusAfter1995
Indicates the condition or state of an entity specifically in the period after the year 1995.
- 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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79af7b72c8190a19dbcbb3a69fb5b |
completed | April 9, 2026, 12:26 p.m. |
| PD | Predicate disambiguation | batch_69d7441efe948190ae4ab020121e169d |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:28 p.m.