Triple
T5452837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Four Hundred Souls: A Community History of African America, 1619–2019 |
E122407
|
entity |
| Predicate | periodLengthPerSection |
P61783
|
FINISHED |
| Object | 5 years |
—
|
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: 5 years | Statement: [Four Hundred Souls: A Community History of African America, 1619–2019, periodLengthPerSection, 5 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: periodLengthPerSection Context triple: [Four Hundred Souls: A Community History of African America, 1619–2019, periodLengthPerSection, 5 years]
-
A.
sessionLength
Indicates the duration of time that a particular session lasts from start to end.
-
B.
hasSectionLength
chosen
Indicates that an entity is associated with a specific length value for one of its sections.
-
C.
courseLength
Indicates the duration or total length of a course, typically measured in units such as hours, weeks, or credits.
-
D.
lengthInMinutes
Indicates the duration of something expressed as a number of minutes.
-
E.
numberOfChapters
Indicates the total count of chapters associated with a given entity.
- 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_69bd46424248819085282ddf50a565f3 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd95be329c81908783420cf81b6af5 |
completed | March 20, 2026, 6:45 p.m. |
| PD | Predicate disambiguation | batch_69bd919e8d18819098c4af6a015e5cc2 |
completed | March 20, 2026, 6:27 p.m. |
Created at: March 20, 2026, 2:08 p.m.