Triple
T19890945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Napier's bones |
E478027
|
entity |
| Predicate | publicationDateOfFirstDescription |
P137724
|
FINISHED |
| Object | 1617 |
—
|
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: 1617 | Statement: [Napier's bones, publicationDateOfFirstDescription, 1617]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publicationDateOfFirstDescription Context triple: [Napier's bones, publicationDateOfFirstDescription, 1617]
-
A.
firstDescribedAsGenusBy
Indicates that one entity was the first to formally describe another entity as a genus in a taxonomic or scientific context.
-
B.
firstDescribedAs
Indicates the original way or terms in which something was initially characterized, named, or documented.
-
C.
wasFirstObservedIn
Indicates that an entity was initially noticed, recorded, or detected at a particular time or place.
-
D.
discoveryDate
Indicates the date on which something was first discovered or identified.
-
E.
yearOfTaxonName
Indicates the specific year in which a particular taxon name was formally established or published.
- 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_69d8e51f32b08190b3687f4f60353250 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6590e02388190ab82918750cc2647 |
completed | April 20, 2026, 4:49 p.m. |
| PD | Predicate disambiguation | batch_69e537ecda248190895c96afb6243823 |
completed | April 19, 2026, 8:15 p.m. |
| PDg | Predicate description generation | batch_69e543c136b081909cab9394b958390a |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 10, 2026, 1:52 p.m.