Triple
T28639104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bludger |
E724869
|
entity |
| Predicate | hasQuantityInStandardSet |
P166888
|
FINISHED |
| Object | 2 Bludgers per Quidditch set |
—
|
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: 2 Bludgers per Quidditch set | Statement: [Bludger, hasQuantityInStandardSet, 2 Bludgers per Quidditch set]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasQuantityInStandardSet Context triple: [Bludger, hasQuantityInStandardSet, 2 Bludgers per Quidditch set]
-
A.
hasExpansionSetNumber
Indicates that an entity is associated with a specific numbered position or identifier within an expansion set.
-
B.
hasRetailSetNumber
Indicates that an item is associated with a specific retail set identification number used for sale or cataloging.
-
C.
usesQuantity
Indicates that one entity employs or applies a specified amount or measure of another entity in performing an action or fulfilling a function.
-
D.
isPerceivedQuantity
Indicates that a quantity is understood, interpreted, or experienced by an observer rather than being an objective or directly measured amount.
-
E.
isCollectible
Indicates that an item can be gathered, acquired, or kept, typically as part of a set or collection.
- 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_69f01d8328c48190bc0e5f9b9b848582 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f664aa283c8190a869d0555eff60c6 |
completed | May 2, 2026, 8:55 p.m. |
| PD | Predicate disambiguation | batch_69f663362c008190a22afed262f1e426 |
completed | May 2, 2026, 8:48 p.m. |
| PDg | Predicate description generation | batch_69f6645a615481909b53d94512ecbaf1 |
completed | May 2, 2026, 8:53 p.m. |
Created at: April 28, 2026, 4:43 a.m.