Triple
T38591336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Knights of the Fallen Empire |
E932459
|
entity |
| Predicate | laterChapterCount |
P2946
|
FINISHED |
| Object | 16 |
—
|
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: 16 | Statement: [Knights of the Fallen Empire, laterChapterCount, 16]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterChapterCount Context triple: [Knights of the Fallen Empire, laterChapterCount, 16]
-
A.
numberOfChapters
chosen
Indicates the total count of chapters associated with a given entity.
-
B.
chapterNumber
Indicates the specific ordinal position a chapter occupies within a larger ordered work, such as a book or document.
-
C.
chapterAfter
Indicates that one chapter directly follows another in a sequential ordering.
-
D.
containsChapter
Indicates that one entity (typically a larger work or document) includes another entity as a chapter within its structure.
-
E.
chaptersAreConsecutive
Indicates that the referenced chapters follow one another directly in sequence without any gaps.
- 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_69f76ec654d48190b421111cf26e54d9 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a017e7bdfe481909cb4d5bdede6035e |
completed | May 11, 2026, 7 a.m. |
| PD | Predicate disambiguation | batch_6a017defee108190bdf5f98dc415b250 |
completed | May 11, 2026, 6:57 a.m. |
Created at: May 3, 2026, 4:32 p.m.