Triple
T23201412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Viking Cave |
E580321
|
entity |
| Predicate | wallPaintingsAge |
P151326
|
FINISHED |
| Object | several hundred years old (approximate) |
—
|
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: several hundred years old (approximate) | Statement: [Viking Cave, wallPaintingsAge, several hundred years old (approximate)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wallPaintingsAge Context triple: [Viking Cave, wallPaintingsAge, several hundred years old (approximate)]
-
A.
artworkSubjectAge
Indicates that the relationship specifies the age of the subject depicted in an artwork.
-
B.
BlackPaintingsApproximateDateEnd
Indicates the approximate latest date or time period by which the creation of the Black Paintings is considered to have ended.
-
C.
hasWallPaintingStyle
Indicates that an entity features or is associated with a particular style or type of wall painting.
-
D.
hasWorkPaintedOnWalls
Indicates that an entity has created or produced artwork that is painted on walls.
-
E.
roofPaintingsName
Indicates the naming or designation assigned to specific roof paintings.
- 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_69e24602ae1481908aaa6bc7ca493867 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f19079c44881909e8677921b08b931 |
completed | April 29, 2026, 5 a.m. |
| PD | Predicate disambiguation | batch_69effcccee508190a7ae311fdd319806 |
completed | April 28, 2026, 12:18 a.m. |
| PDg | Predicate description generation | batch_69f01d8770d081908897c28b04e5faea |
completed | April 28, 2026, 2:37 a.m. |
Created at: April 17, 2026, 4:06 p.m.