Triple
T26705532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Conde–Charlotte House |
E673277
|
entity |
| Predicate | hasPeriodRoom |
P29543
|
FINISHED |
| Object | 19th-century furnished 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: 19th-century furnished rooms | Statement: [Conde–Charlotte House, hasPeriodRoom, 19th-century furnished rooms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPeriodRoom Context triple: [Conde–Charlotte House, hasPeriodRoom, 19th-century furnished rooms]
-
A.
hasPeriodRooms
chosen
Indicates that an entity contains rooms that are decorated or preserved to reflect specific historical periods.
-
B.
hasRoom
Indicates that an entity possesses, contains, or is associated with a specific room.
-
C.
hasChangingRooms
Indicates that a place or facility provides designated rooms where people can change their clothes.
-
D.
hasInteriorPeriod
Indicates that an entity includes or is associated with a specific time interval occurring within its overall duration.
-
E.
hasProjectionRoom
Indicates that one entity (typically a venue or building) contains or is equipped with a projection room used for displaying films or visual media.
- 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_69eecda2b49c8190a6c481cfc4c07954 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f6c1265c208190aacd2b551f8f0f82 |
completed | May 3, 2026, 3:29 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2415fc81908c23c311aebce66f |
completed | May 3, 2026, 3:12 a.m. |
Created at: April 27, 2026, 3:33 a.m.