Triple
T4559072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scenic America |
E120548
|
entity |
| Predicate | roomFunctionContext |
P57668
|
FINISHED |
| Object | used as backdrop for diplomatic receptions |
—
|
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: used as backdrop for diplomatic receptions | Statement: [Scenic America, roomFunctionContext, used as backdrop for diplomatic receptions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roomFunctionContext Context triple: [Scenic America, roomFunctionContext, used as backdrop for diplomatic receptions]
-
A.
houseFunction
Indicates the functional role or primary use that a house serves (e.g., residential, commercial, mixed-use).
-
B.
primaryFunctionContext
Indicates the main situational or operational context in which a function, role, or process is primarily intended to be used or performed.
-
C.
controlRoomFeature
Indicates that a feature, element, or characteristic is part of, present in, or associated with a control room.
-
D.
roofFunction
Indicates the functional role or purpose that a roof serves in relation to the structure it covers.
-
E.
activityStartContext
Indicates the circumstances, conditions, or situation present at the moment an activity begins.
- F. None of above. chosen
Provenance (4 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_69bd4636f1648190a701445c2fcd9c17 |
completed | March 20, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69bd5829cc34819086ad2ae58446502e |
completed | March 20, 2026, 2:22 p.m. |
| PD | Predicate disambiguation | batch_69bd52254c648190a5144cfe8fa7e409 |
completed | March 20, 2026, 1:56 p.m. |
| PDg | Predicate description generation | batch_69bd56f6e75481909c487a94a2c2d0ba |
completed | March 20, 2026, 2:17 p.m. |
Created at: March 20, 2026, 1:09 p.m.