Triple
T29210802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inbam |
E740540
|
entity |
| Predicate | chapterLength |
P166769
|
FINISHED |
| Object | 10 couplets per chapter |
—
|
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: 10 couplets per chapter | Statement: [Inbam, chapterLength, 10 couplets per chapter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chapterLength Context triple: [Inbam, chapterLength, 10 couplets per chapter]
-
A.
numberOfChapters
Indicates the total count of chapters associated with a given entity.
-
B.
runtimePerChapterApprox
Indicates an approximate amount of time required to complete or experience each chapter.
-
C.
chapterType
Indicates the specific kind or category of a chapter within a larger work or document.
-
D.
chapterNumber
Indicates the specific ordinal position a chapter occupies within a larger ordered work, such as a book or document.
-
E.
narrativeLength
Indicates the length or extent of a narrative, such as its duration, word count, or overall size.
- 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_69f07cba2f808190a2746477d4e8345b |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f66404c158819099a062b5ecf6c856 |
completed | May 2, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69f660f2e3708190ab658652bcfc04d0 |
completed | May 2, 2026, 8:39 p.m. |
| PDg | Predicate description generation | batch_69f661e9cb308190a56e25dc17df248e |
completed | May 2, 2026, 8:43 p.m. |
Created at: April 28, 2026, 12:11 p.m.