Triple
T4517599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | News from Tartary |
E103188
|
entity |
| Predicate | hasOriginalPublicationDateCentury |
P15335
|
FINISHED |
| Object | 20th century |
—
|
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: 20th century | Statement: [News from Tartary, hasOriginalPublicationDateCentury, 20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOriginalPublicationDateCentury Context triple: [News from Tartary, hasOriginalPublicationDateCentury, 20th century]
-
A.
firstWorkPublicationCentury
Indicates the century in which an entity’s first work was originally published.
-
B.
publicationCentury
Indicates the century during which a work was published.
-
C.
originalCentury
chosen
Indicates the century in which something was originally created, produced, or came into existence.
-
D.
hasPublicationDate
Indicates that an entity is associated with the specific date on which it was published.
-
E.
firstPublicationPeriod
Indicates the time span during which something was first published or initially made publicly available.
- 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_69bd43dba59881908cf59b31df8c7ae1 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd572933408190b67c4ef6a7babe75 |
completed | March 20, 2026, 2:18 p.m. |
| PD | Predicate disambiguation | batch_69bd521abea48190b3e758a1f98dd55e |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:02 p.m.