Triple
T15503160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Musée de l’Impression sur Étoffes |
E379010
|
entity |
| Predicate | hasCollectionTheme |
P107452
|
FINISHED |
| Object | printed cottons |
—
|
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: printed cottons | Statement: [Musée de l’Impression sur Étoffes, hasCollectionTheme, printed cottons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCollectionTheme Context triple: [Musée de l’Impression sur Étoffes, hasCollectionTheme, printed cottons]
-
A.
hasThemeType
Indicates that something is associated with or characterized by a particular thematic category or type.
-
B.
hasPersonalThemes
Indicates that something (such as a work, message, or expression) involves themes that are personal, intimate, or directly related to an individual’s own experiences or inner life.
-
C.
hasMuseumTheme
Indicates that something (such as a museum, exhibit, or collection) is characterized by or dedicated to a particular thematic focus.
-
D.
hasCentralTheme
Indicates that one entity serves as the primary or dominant theme or subject matter of another entity.
-
E.
collectionThemeConnection
chosen
Indicates a relationship where a collection is associated with, organized around, or linked to a particular theme.
- 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03fcc5bb88190b8a9a81419a9a38b |
completed | April 16, 2026, 1:47 a.m. |
| PD | Predicate disambiguation | batch_69ded2896a9c8190a8b9627deb3c17b4 |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:54 a.m.