Triple
T5424464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The History and Present State of Electricity |
E121328
|
entity |
| Predicate | secondEditionPublicationDate |
P19561
|
FINISHED |
| Object | 1769 |
—
|
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: 1769 | Statement: [The History and Present State of Electricity, secondEditionPublicationDate, 1769]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondEditionPublicationDate Context triple: [The History and Present State of Electricity, secondEditionPublicationDate, 1769]
-
A.
publicationYearOfSecondEdition
chosen
Indicates the year in which the second edition of a work was published.
-
B.
secondSeriesPublicationYear
Indicates the year in which the second series or installment of a work was published.
-
C.
secondEditionAuthor
Indicates that the subject is the author responsible for the second edition of the object work.
-
D.
secondBookApproximateDate
Indicates that an entity’s second book is associated with an estimated or approximate publication date rather than a precise one.
-
E.
secondEditionFocus
Indicates that the relationship or content specifically pertains to the second edition version or focus of something, as opposed to other editions.
- 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_69bd463b58d88190b258261573de9e91 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8911a7348190ad9378a248190f07 |
completed | March 20, 2026, 5:51 p.m. |
| PD | Predicate disambiguation | batch_69bd846b8bdc81909dcdc2a3084226f2 |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:06 p.m.