Triple
T6508419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Navigation Acts (England) |
E150067
|
entity |
| Predicate | partiallySuspendedDuring |
P71277
|
FINISHED |
| Object | English Civil War aftermath |
—
|
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: English Civil War aftermath | Statement: [Navigation Acts (England), partiallySuspendedDuring, English Civil War aftermath]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partiallySuspendedDuring Context triple: [Navigation Acts (England), partiallySuspendedDuring, English Civil War aftermath]
-
A.
suspendedIn
Indicates that one entity is held or maintained within another medium or environment without settling or separating.
-
B.
partiallyCompleted
Indicates that an action, process, or task has been started and progressed to some extent, but has not yet been fully completed.
-
C.
isPartially
Indicates that one entity is included within another to some extent, but not completely or fully.
-
D.
supportsSuspension
Indicates that one entity provides the necessary structure, strength, or mechanism to hold or keep another entity suspended.
-
E.
hasSuspension
Indicates that one entity is subject to a temporary suspension imposed or recorded by 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_69c687ef291081909d437f035eef1cda |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c69f386aa08190bfc8592a92ec6339 |
completed | March 27, 2026, 3:16 p.m. |
| PD | Predicate disambiguation | batch_69c68ab714908190aa7c2fbf64078e15 |
completed | March 27, 2026, 1:48 p.m. |
| PDg | Predicate description generation | batch_69c69f362ee4819090e8fa48caef7d7d |
completed | March 27, 2026, 3:16 p.m. |
Created at: March 27, 2026, 1:43 p.m.