Triple
T18544752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Les Monuments de Paris panoramic wallpaper |
E453194
|
entity |
| Predicate | hasDetailLevel |
P7358
|
FINISHED |
| Object | highly detailed illustration |
—
|
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: highly detailed illustration | Statement: [Les Monuments de Paris panoramic wallpaper, hasDetailLevel, highly detailed illustration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDetailLevel Context triple: [Les Monuments de Paris panoramic wallpaper, hasDetailLevel, highly detailed illustration]
-
A.
hasLevel
Indicates that an entity possesses or is associated with a particular degree, rank, or stage within an ordered scale or hierarchy.
-
B.
hasLevelNumber
Indicates that an entity is associated with a specific level identified by a numerical value.
-
C.
hasLevelType
Indicates that an entity is associated with a specific type or category of level (e.g., difficulty, hierarchy, or stage).
-
D.
hasLevelDescription
chosen
Indicates that an entity is associated with a textual description specifying its level, degree, or stage.
-
E.
containsLevel
Indicates that one entity includes or encompasses a specific level or layer within its structure or hierarchy.
- 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_69d8d388b0c881908e610a1c45b52640 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e534b9fa408190b5b397962920e439 |
completed | April 19, 2026, 8:02 p.m. |
| PD | Predicate disambiguation | batch_69e469e274a48190a570b25cfef4d890 |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:38 a.m.