Triple
T28639368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quidditch Through the Ages |
E724875
|
entity |
| Predicate | hasFictionalPrice |
P97072
|
FINISHED |
| Object | 14 Sickles 3 Knuts |
—
|
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: 14 Sickles 3 Knuts | Statement: [Quidditch Through the Ages, hasFictionalPrice, 14 Sickles 3 Knuts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFictionalPrice Context triple: [Quidditch Through the Ages, hasFictionalPrice, 14 Sickles 3 Knuts]
-
A.
hasFictionalProduct
Indicates a relationship where one entity features, offers, or includes a product that exists only in fiction or an imagined context.
-
B.
isValuePriced
Indicates that something is offered at a relatively low or favorable price compared to typical or premium alternatives.
-
C.
priceInFiction
chosen
Indicates the monetary cost or value assigned to something within a fictional or imaginary context.
-
D.
hasFictionalPromotion
Indicates that an entity has received a rank, title, or status advancement that occurs only within a fictional or narrative context, not in real life.
-
E.
hasFictionalDenomination
Indicates that an entity is associated with a made-up or non-real-world unit, title, or currency used in a fictional context.
- 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_69f01d8328c48190bc0e5f9b9b848582 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69fd49f6dbac81909744373a357b7982 |
completed | May 8, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69fd48ed68f481908374183c66a6b055 |
completed | May 8, 2026, 2:22 a.m. |
Created at: April 28, 2026, 4:43 a.m.