Triple
T8357481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whittaker five-kingdom system |
E196714
|
entity |
| Predicate | originalArticleYear |
P60473
|
FINISHED |
| Object | 1969 |
—
|
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: 1969 | Statement: [Whittaker five-kingdom system, originalArticleYear, 1969]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalArticleYear Context triple: [Whittaker five-kingdom system, originalArticleYear, 1969]
-
A.
firstPublishedInWorkYear
chosen
Indicates the year in which a work was first published.
-
B.
relatedWorkPublicationYear
Indicates the year in which a related work associated with the primary entity was published.
-
C.
publicationYear
Indicates the specific calendar year in which a work was formally published or released.
-
D.
firstAssociatedPublicationYear
Indicates the calendar year in which an entity’s earliest associated publication was first released or made publicly available.
-
E.
firstPartPublicationYear
Indicates the year in which the first part or installment of a multi-part publication was released.
- 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_69ca82f08b348190bfb7881944bbff6f |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb804b57f88190907a4e4e389caf5f |
completed | March 31, 2026, 8:05 a.m. |
| PD | Predicate disambiguation | batch_69cb70ca25548190b0f90c5384e3fb3c |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 5:59 p.m.