Triple
T34608418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The History of England |
E888656
|
entity |
| Predicate | firstTwoVolumesPublicationYear |
P205483
|
FINISHED |
| Object | 1848 |
—
|
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: 1848 | Statement: [The History of England, firstTwoVolumesPublicationYear, 1848]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstTwoVolumesPublicationYear Context triple: [The History of England, firstTwoVolumesPublicationYear, 1848]
-
A.
firstVolumesPublished
Indicates that the initial volumes of a multi-volume work have been published.
-
B.
publishedInTwoVolumes
Indicates that a work was released or issued in exactly two separate volumes.
-
C.
volume1PublicationYear
Indicates the year in which the first volume of a multi-volume work was published.
-
D.
firstPartPublicationYear
Indicates the year in which the first part or installment of a multi-part publication was released.
-
E.
firstThreeBooksPublicationDate
Indicates that it specifies the publication date associated with the first three books in a given ordered set or series.
- 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_69f349d489d48190ba30e7d97c6f5ef9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379fd7aac8190873077e63873aa72 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c80ba448190853011097a151b7e |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 2:03 a.m.