Triple
T26056405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Château de Haroué (collaboration and interior works) |
E657128
|
entity |
| Predicate | hasInteriorWorks |
P101261
|
FINISHED |
| Object | richly decorated rooms |
—
|
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: richly decorated rooms | Statement: [Château de Haroué (collaboration and interior works), hasInteriorWorks, richly decorated rooms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInteriorWorks Context triple: [Château de Haroué (collaboration and interior works), hasInteriorWorks, richly decorated rooms]
-
A.
hasRichInteriorDecoration
chosen
Indicates that an entity features elaborate, ornate, or luxuriously detailed interior decoration.
-
B.
hasInteriorFeature
Indicates that an entity contains or includes a specific feature within its interior space.
-
C.
rebuiltInterior
Indicates that the interior of an entity has been reconstructed or significantly renovated, typically after damage, aging, or redesign.
-
D.
hasInteriorItem
Indicates that one entity contains another entity as an item located within its interior.
-
E.
partOfInteriorDesign
Indicates that one entity is a component or element within the interior design scheme of another entity.
- 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_69ee5bbd788481909e22bd7153d0c037 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f74062b9388190b30546cf700a825c |
completed | May 3, 2026, 12:32 p.m. |
| PD | Predicate disambiguation | batch_69f73c802b848190b61a416b7488bd96 |
completed | May 3, 2026, 12:16 p.m. |
Created at: April 26, 2026, 7:10 p.m.