Triple
T1848298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hohenschwangau Castle |
E41333
|
entity |
| Predicate | rebuiltStart |
P16795
|
FINISHED |
| Object | 1832 |
—
|
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: 1832 | Statement: [Hohenschwangau Castle, rebuiltStart, 1832]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rebuiltStart Context triple: [Hohenschwangau Castle, rebuiltStart, 1832]
-
A.
rebuiltUnder
Indicates that an entity was reconstructed or restored while being subject to the authority, control, or governance of another entity.
-
B.
rebuiltFor
Indicates that one entity has been reconstructed, renovated, or modified specifically to serve the needs, purposes, or use of another entity.
-
C.
reconstructionStart
chosen
Indicates the point in time or event at which a reconstruction process or activity begins.
-
D.
rebuiltInStyle
Indicates that something has been reconstructed or renovated following the characteristics, design principles, or aesthetic conventions of a specified style.
-
E.
rebuiltMultipleTimes
Indicates that the same entity has been reconstructed or restored on more than one separate occasion.
- 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_69a88648cd44819093303206d96d76ad |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb32d35508190bf1c487dffbecaf0 |
completed | March 7, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69abafdca6d8819083c66f3a29fd9fd1 |
completed | March 7, 2026, 4:55 a.m. |
Created at: March 4, 2026, 7:33 p.m.