Triple
T20923737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stradivarius violin |
E515280
|
entity |
| Predicate | hasMarketPriceRange |
P141698
|
FINISHED |
| Object | millions of US dollars |
—
|
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: millions of US dollars | Statement: [Stradivarius violin, hasMarketPriceRange, millions of US dollars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMarketPriceRange Context triple: [Stradivarius violin, hasMarketPriceRange, millions of US dollars]
-
A.
hasTargetPriceSegment
Indicates that something is associated with or assigned to a specific target price range or pricing segment.
-
B.
hasPriceUnit
Indicates that a price value is expressed in a specific unit of currency or measurement.
-
C.
hasBlackMarketRate
Indicates that there exists an unofficial or illicit market exchange rate associated with the given entity or transaction.
-
D.
isValuePriced
Indicates that something is offered at a relatively low or favorable price compared to typical or premium alternatives.
-
E.
offersGradeRange
Indicates that an entity provides educational instruction or services spanning a specified range of grade levels.
- 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_69e0b4fb431c8190b9d40e6a72f0cc87 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f6504c30819084e8cabab98d08f7 |
completed | April 21, 2026, 4 a.m. |
| PD | Predicate disambiguation | batch_69e5c9af1fe08190953366a466950140 |
completed | April 20, 2026, 6:37 a.m. |
| PDg | Predicate description generation | batch_69e5d53d22d08190bc17ed4bed53804a |
completed | April 20, 2026, 7:26 a.m. |
Created at: April 16, 2026, 12:49 p.m.