Triple
T18903657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tārīkh al-rusul wa-l-mulūk |
E462397
|
entity |
| Predicate | EnglishSeriesVolumesApprox |
P5040
|
FINISHED |
| Object | 39 |
—
|
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: 39 | Statement: [Tārīkh al-rusul wa-l-mulūk, EnglishSeriesVolumesApprox, 39]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: EnglishSeriesVolumesApprox Context triple: [Tārīkh al-rusul wa-l-mulūk, EnglishSeriesVolumesApprox, 39]
-
A.
seriesVolumeNumber
chosen
Indicates the specific volume number assigned to an item within an ordered series.
-
B.
11thEditionNumberOfVolumes
Indicates the total number of volumes contained in the 11th edition of a work.
-
C.
seventhVolume
Indicates that one entity is the seventh volume in a sequential series or collection associated with another entity.
-
D.
seriesOf
Indicates that one entity is a sequence or ordered set of related items, events, or parts that collectively form or belong to another entity.
-
E.
lightNovelVolumesCount
Indicates the number of volumes that exist for a given light novel.
- 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_69d8dcfd05bc819088903cca13cc2846 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c52b07c08190be0db22826462ae3 |
completed | April 20, 2026, 6:18 a.m. |
| PD | Predicate disambiguation | batch_69e4a2e27e1481908a8da10b28f07875 |
completed | April 19, 2026, 9:39 a.m. |
Created at: April 10, 2026, 11:58 a.m.