Triple
T330154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | White Hall (Livadia Palace) |
E6607
|
entity |
| Predicate | interiorType |
P4152
|
FINISHED |
| Object | formal state room |
—
|
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: formal state room | Statement: [White Hall (Livadia Palace), interiorType, formal state room]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: interiorType Context triple: [White Hall (Livadia Palace), interiorType, formal state room]
-
A.
interiorStyle
Indicates that one entity has a particular interior design style or aesthetic characterized by the other entity.
-
B.
furnishingType
Indicates the type or category of furnishings associated with an entity, such as a property or room.
-
C.
hasInteriorFeature
Indicates that an entity contains or includes a specific feature within its interior space.
-
D.
chamberType
chosen
Indicates the specific kind or category of chamber associated with an entity (e.g., room, compartment, or enclosed space type).
-
E.
indoorOrOutdoor
Indicates whether an activity, event, or entity occurs inside a building (indoors) or outside in open air (outdoors).
- 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_69a2e79434908190a9d5afe415153ad9 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eaaeb64881909c7ab9bca3378e2b |
completed | Feb. 28, 2026, 1:16 p.m. |
| PD | Predicate disambiguation | batch_69a2e94aab1c8190b8654708c87eeb91 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.