Triple
T21140980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Petersburg Tale |
E520924
|
entity |
| Predicate | usedInWorkDepicting |
P92133
|
FINISHED |
| Object | catastrophic flood in Saint Petersburg |
—
|
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: catastrophic flood in Saint Petersburg | Statement: [A Petersburg Tale, usedInWorkDepicting, catastrophic flood in Saint Petersburg]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedInWorkDepicting Context triple: [A Petersburg Tale, usedInWorkDepicting, catastrophic flood in Saint Petersburg]
-
A.
usedInWorkBy
Indicates that something (such as a method, material, or concept) is employed or incorporated within a work created by a particular agent or author.
-
B.
usedInWork
Indicates that something (such as a concept, method, material, or component) is employed or applied within a particular work, project, or creation.
-
C.
workOftenDepicts
Indicates that one entity’s work frequently portrays, represents, or includes the other entity as a subject or theme.
-
D.
portraysInWork
chosen
Indicates that one entity depicts, represents, or plays the role of another entity within a specific creative work.
-
E.
depictsFieldOfWork
Indicates that one entity visually represents or portrays the professional domain, discipline, or field of activity associated with another 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_69e0b50c6a848190a4e525a77a319b8a |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7235f77708190809d6aa3ee8056aa |
completed | April 21, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69e5f5ed6c8c8190b31092a5d4c3de5d |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 2:57 p.m.