Triple
T20923704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stradivarius violin |
E515280
|
entity |
| Predicate | madeBetweenYears |
P51921
|
FINISHED |
| Object | c. 1660 |
—
|
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: c. 1660 | Statement: [Stradivarius violin, madeBetweenYears, c. 1660]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: madeBetweenYears Context triple: [Stradivarius violin, madeBetweenYears, c. 1660]
-
A.
createdBetween
chosen
Indicates that something was created within a specified start and end time or date range.
-
B.
productionYears
Indicates the span of calendar years during which something was produced or manufactured.
-
C.
seasonSpan
Indicates the time period or range of dates over which a particular season extends or is in effect.
-
D.
occurredBetween
Indicates that an event or action took place within the time interval defined by two temporal boundaries.
-
E.
coversYearsTo
Indicates a temporal relationship where one entity spans, includes, or extends up to a specified year or range of years represented by the other entity.
- 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_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. |
Created at: April 16, 2026, 12:49 p.m.