Triple
T38627162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Middle March |
E937344
|
entity |
| Predicate | declineOfLawlessnessAfter |
P191302
|
FINISHED |
| Object | early 17th century |
—
|
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: early 17th century | Statement: [Middle March, declineOfLawlessnessAfter, early 17th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: declineOfLawlessnessAfter Context triple: [Middle March, declineOfLawlessnessAfter, early 17th century]
-
A.
enforcesLawThrough
Indicates that one entity upholds, applies, or executes laws or legal rules by means of another entity, mechanism, or process.
-
B.
endOfRebellion
Indicates that a rebellion or uprising has concluded or been brought to an end.
-
C.
enforcedLaw
Indicates that an authority actively applies or upholds a specific law to regulate behavior or resolve situations.
-
D.
lawEnforcementLevel
Indicates the degree or intensity of law enforcement presence, activity, or strictness applied in a given context.
-
E.
wasPacifiedBy
Indicates that an entity became calm, subdued, or brought under control as a result of the actions or influence of another entity.
- 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_69f76ed5ca3c81909288f61fbf37b359 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdb0de8c08190928cd1323f80ab5c |
completed | May 7, 2026, 6:33 p.m. |
| PD | Predicate disambiguation | batch_69fcd9017dd88190b32a73fe78909740 |
completed | May 7, 2026, 6:25 p.m. |
| PDg | Predicate description generation | batch_69fcdb0cf6008190b27046b694f84356 |
completed | May 7, 2026, 6:33 p.m. |
Created at: May 3, 2026, 4:32 p.m.