Triple
T25093645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victory City |
E628529
|
entity |
| Predicate | pageCountUSHardcover |
P157634
|
FINISHED |
| Object | 352 |
—
|
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: 352 | Statement: [Victory City, pageCountUSHardcover, 352]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pageCountUSHardcover Context triple: [Victory City, pageCountUSHardcover, 352]
-
A.
pageCountFirstEdition
Indicates the number of pages contained in the first edition of an item.
-
B.
hasPageCountApprox
Indicates that an entity is associated with an approximate or estimated number of pages, rather than an exact page count.
-
C.
numberOfSheets
Indicates the quantity of individual sheets associated with or contained in an entity.
-
D.
isbnHardcoverUK
Indicates that the entity has a specific ISBN corresponding to its hardcover edition published in the United Kingdom.
-
E.
hasFrontispiece
Indicates that an item includes a frontispiece, i.e., an illustrative or decorative page placed at or near the front of a work.
- 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_69e2ff2f58e881908340527bc5d34f07 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f464b691bc81908e0a286c32a902e8 |
completed | May 1, 2026, 8:30 a.m. |
| PD | Predicate disambiguation | batch_69f442c861188190967655c6d8012380 |
completed | May 1, 2026, 6:06 a.m. |
| PDg | Predicate description generation | batch_69f448fe11f08190bdd53ca7ba2d51e4 |
completed | May 1, 2026, 6:32 a.m. |
Created at: April 18, 2026, 6:24 a.m.