Triple
T36656501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Disputation XXXIII |
E905006
|
entity |
| Predicate | hasPartOfSeriesNumber |
P76763
|
FINISHED |
| Object | 33 |
—
|
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: 33 | Statement: [Disputation XXXIII, hasPartOfSeriesNumber, 33]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPartOfSeriesNumber Context triple: [Disputation XXXIII, hasPartOfSeriesNumber, 33]
-
A.
hasSeriesNumber
Indicates that an entity is assigned a specific ordinal or sequence number within a series or ordered set.
-
B.
hasPartOfSeriesPosition
chosen
Indicates that an entity occupies a specific position or order within a larger series or sequence.
-
C.
partOfSeriesType
Indicates that something belongs to a series and specifies the type or category of that series.
-
D.
hasNumberOfBooksInSeries
Indicates the quantity of books that belong to a particular series.
-
E.
partOfSeriesWith
Indicates that one entity is a member or installment within the same series as another entity, linking them as related parts of a larger sequence or collection.
- 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_69f76e6e3b908190970251b30f76ad71 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a002103c93081908398fa5726f5fa6e |
completed | May 10, 2026, 6:09 a.m. |
| PD | Predicate disambiguation | batch_6a001fcb9fb48190a27d8f2ca983fbe6 |
completed | May 10, 2026, 6:03 a.m. |
Created at: May 3, 2026, 4:11 p.m.