Triple
T11174278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lluís Millet Hall |
E264365
|
entity |
| Predicate | interiorDesignCharacteristic |
P6655
|
FINISHED |
| Object | ornate decoration |
—
|
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: ornate decoration | Statement: [Lluís Millet Hall, interiorDesignCharacteristic, ornate decoration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: interiorDesignCharacteristic Context triple: [Lluís Millet Hall, interiorDesignCharacteristic, ornate decoration]
-
A.
interiorStyle
Indicates that one entity has a particular interior design style or aesthetic characterized by the other entity.
-
B.
interiorDecoratedBy
Indicates that the interior of a space or structure has been designed or decorated by a specific agent or entity.
-
C.
featuresDecor
Indicates that one entity includes or showcases the decor elements provided or defined by another entity.
-
D.
hasInteriorFeature
chosen
Indicates that an entity contains or includes a specific feature within its interior space.
-
E.
furnishingType
Indicates the type or category of furnishings associated with an entity, such as a property or room.
- 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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e897774c819088ebc7231cebfba6 |
completed | April 9, 2026, 5:57 p.m. |
| PD | Predicate disambiguation | batch_69d75cf0e6e88190973694abe2990973 |
completed | April 9, 2026, 8:01 a.m. |
Created at: April 8, 2026, 9:29 p.m.