Triple
T37580695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chapelle du Château de Vallauris |
E934947
|
entity |
| Predicate | hasSubjectInMurals |
P120414
|
FINISHED |
| Object | war |
—
|
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: war | Statement: [Chapelle du Château de Vallauris, hasSubjectInMurals, war]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSubjectInMurals Context triple: [Chapelle du Château de Vallauris, hasSubjectInMurals, war]
-
A.
hasMuralsDepicting
chosen
Indicates that one entity contains or features murals that visually represent or portray another entity.
-
B.
hasMuralsFrom
Indicates that a location or structure contains murals that originate from or were created in a specified place or time period.
-
C.
hasArtOrMurals
Indicates that one entity features or contains artworks or murals associated with another entity.
-
D.
hasArtSubjects
Indicates that an entity is associated with one or more subjects or themes within the domain of art.
-
E.
hasSculptureSubject
Indicates that a sculpture depicts, represents, or is thematically focused on a particular subject.
- 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_69f76ece61dc8190a0ab33f8d87d0a7e |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a0056174c908190be99c91a70393e47 |
completed | May 10, 2026, 9:55 a.m. |
| PD | Predicate disambiguation | batch_6a00538e7e08819091ecd4316cd641a1 |
completed | May 10, 2026, 9:44 a.m. |
Created at: May 3, 2026, 4:17 p.m.