Triple
T22567058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Paul’s Normal and Industrial School |
E557977
|
entity |
| Predicate | timeInContext |
P302
|
FINISHED |
| Object | post–Civil War Reconstruction era |
—
|
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: post–Civil War Reconstruction era | Statement: [St. Paul’s Normal and Industrial School, timeInContext, post–Civil War Reconstruction era]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeInContext Context triple: [St. Paul’s Normal and Industrial School, timeInContext, post–Civil War Reconstruction era]
-
A.
time
Indicates a temporal relationship specifying when an event occurs or how entities are ordered or related in time.
-
B.
timeDescribedAs
Indicates that a specific time or temporal interval is characterized, labeled, or expressed using a particular description or representation.
-
C.
timePeriod
chosen
Indicates the specific span or interval of time during which an event, state, or relationship occurs or is valid.
-
D.
timePerspective
Indicates how an entity conceptually relates to or orients itself toward time, such as focusing on past, present, or future.
-
E.
timeNamed
Indicates that a specific time or temporal interval is referred to or identified by a particular name or label.
- 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_69e11e5ae4ac8190b1f503457603d969 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15faaa0b081908d5aa8f3ba1e3dd3 |
completed | April 29, 2026, 1:32 a.m. |
| PD | Predicate disambiguation | batch_69ee626e6bb08190ada4dd8b48cc0c43 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 16, 2026, 8:52 p.m.