Triple
T1671461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rouen Cathedral series |
E36133
|
entity |
| Predicate | depictionTimeRange |
P30546
|
FINISHED |
| Object | different times of day |
—
|
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: different times of day | Statement: [Rouen Cathedral series, depictionTimeRange, different times of day]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictionTimeRange Context triple: [Rouen Cathedral series, depictionTimeRange, different times of day]
-
A.
depictionOfTime
chosen
Indicates that one entity visually represents or symbolizes a specific moment, period, or progression of time associated with another entity.
-
B.
depictionType
Indicates the specific manner or style in which something is visually represented or depicted.
-
C.
collectionTimespan
Indicates the time period over which a collection exists, is accumulated, or is considered valid.
-
D.
notableDepictionYear
Indicates the year in which a notable or significant depiction of an entity occurred or was created.
-
E.
depictionDetail
Indicates that one depiction provides additional detail, refinement, or a closer view of what is shown in another depiction.
- 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_69a8861286808190939afff3ce8ee31e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69ab272a653481908f48aa1eed5de8a4 |
completed | March 6, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_69aa61b2f6288190b2348ef7d7e4672d |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:29 p.m.