Triple
T3241639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christiansborg Palace |
E67976
|
entity |
| Predicate | firstPalaceCompletedIn |
P47560
|
FINISHED |
| Object | 1745 |
—
|
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: 1745 | Statement: [Christiansborg Palace, firstPalaceCompletedIn, 1745]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstPalaceCompletedIn Context triple: [Christiansborg Palace, firstPalaceCompletedIn, 1745]
-
A.
royalPalaceConstructionPeriod
Indicates the time span during which a royal palace was built or under construction.
-
B.
governingDynastyAtConstruction
Indicates the ruling dynasty that held power at the time a structure or monument was constructed.
-
C.
firstChapelBuilt
Indicates that the subject is the location or entity where the first chapel was constructed or established.
-
D.
rebuiltAsPalace
Indicates that a structure or building was reconstructed or transformed into a palace.
-
E.
isEarliestLargeScaleCutStoneConstructionIn
Indicates that a structure is the earliest known example of large-scale cut-stone construction within a specified place or region.
- 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_69ad858d27348190abb61c280b4c86a9 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaef76d908190815bb456e366ee0a |
completed | March 8, 2026, 5:16 p.m. |
| PD | Predicate disambiguation | batch_69ada4159e0481908cbbdd750f5e08c7 |
completed | March 8, 2026, 4:30 p.m. |
| PDg | Predicate description generation | batch_69ada698eeb48190a1f5762fdd3b7b63 |
completed | March 8, 2026, 4:40 p.m. |
Created at: March 8, 2026, 3:08 p.m.