Triple
T185394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belshazzar’s Feast |
E3968
|
entity |
| Predicate | depictsTime |
P1581
|
FINISHED |
| Object | reign of Belshazzar |
—
|
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: reign of Belshazzar | Statement: [Belshazzar’s Feast, depictsTime, reign of Belshazzar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsTime Context triple: [Belshazzar’s Feast, depictsTime, reign of Belshazzar]
-
A.
depicts
chosen
Indicates that one entity visually represents, portrays, or shows another entity.
-
B.
representsTimeIn
Indicates that one entity expresses, encodes, or specifies the time at which another entity occurs, is valid, or is observed.
-
C.
timeDescribedAs
Indicates that a specific time or temporal interval is characterized, labeled, or expressed using a particular description or representation.
-
D.
depictsPerson
Indicates that one entity visually represents or portrays a specific person.
-
E.
timeNotation
Indicates the specific system or format used to represent and write times (e.g., 12-hour vs 24-hour notation).
- 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_69a25497e2f08190a040f8c6e1842643 |
completed | Feb. 28, 2026, 2:36 a.m. |
| NER | Named-entity recognition | batch_69a2592867108190b5d316c055575449 |
completed | Feb. 28, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69a2566fb08c81908faff2fde552105d |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:40 a.m.