Triple
T29721289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Augurs of Spring |
E752059
|
entity |
| Predicate | belongsToSubPeriod |
P8382
|
FINISHED |
| Object | pre-World War I modernism |
—
|
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: pre-World War I modernism | Statement: [Augurs of Spring, belongsToSubPeriod, pre-World War I modernism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToSubPeriod Context triple: [Augurs of Spring, belongsToSubPeriod, pre-World War I modernism]
-
A.
hasSubPeriod
chosen
Indicates that a time period is composed of or contains another, more specific time period as a subordinate part.
-
B.
isSubsegmentOf
Indicates that one segment is entirely contained within and forms a continuous part of another, larger segment.
-
C.
belongsToSubseries
Indicates that one item is part of, or contained within, a more specific subseries of a larger series or collection.
-
D.
belongsToSubfield
Indicates that one field, topic, or area of study is a more specialized part within a broader academic or disciplinary field.
-
E.
belongsToSubsector
Indicates that one entity is part of, or classified within, a more specific subsector of a broader sector or industry.
- 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_69f0d628c00c8190ab5ee7e423d7ec3c |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fd8e5f7c4c8190ab8e2f2a7bb1bd79 |
completed | May 8, 2026, 7:18 a.m. |
| PD | Predicate disambiguation | batch_69fd8d8a16f08190b9e880901bfa44fe |
completed | May 8, 2026, 7:15 a.m. |
Created at: April 28, 2026, 7:36 p.m.