Triple
T20490319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The River War |
E502725
|
entity |
| Predicate | originalEditionFormat |
P35132
|
FINISHED |
| Object | two-volume work |
—
|
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: two-volume work | Statement: [The River War, originalEditionFormat, two-volume work]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalEditionFormat Context triple: [The River War, originalEditionFormat, two-volume work]
-
A.
originalEditionContains
Indicates that an original edition of a work includes or encompasses another work, part, or component within it.
-
B.
firstEditionMediaType
Indicates the type or format of the medium in which something was originally published in its first edition.
-
C.
firstEditionType
Indicates that an entity is classified as a first edition of a work, specifying the type or category of that first edition.
-
D.
originalPublicationForm
chosen
Indicates the format or medium in which a work was first originally published.
-
E.
printedFirstEditionOf
Indicates that the subject entity produced and issued the initial published edition of the object entity.
- 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_69e0b4b0373881909dd3e9387f82eab4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69cb8e7848190a1dc497a10ae798c |
completed | April 20, 2026, 9:38 p.m. |
| PD | Predicate disambiguation | batch_69e59fcdf6e08190a604204615dc56e6 |
completed | April 20, 2026, 3:38 a.m. |
Created at: April 16, 2026, 11:35 a.m.