Triple
T12227487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Presidential Mansion of Greece |
E291391
|
entity |
| Predicate | becameRoyalPalace |
P46590
|
FINISHED |
| Object | 1909 |
—
|
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: 1909 | Statement: [Presidential Mansion of Greece, becameRoyalPalace, 1909]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: becameRoyalPalace Context triple: [Presidential Mansion of Greece, becameRoyalPalace, 1909]
-
A.
palace
Indicates that an entity is a palace, i.e., a grand official residence typically used by royalty or high-ranking authorities.
-
B.
becameRoyalResidenceIn
chosen
Indicates that a place or building started serving as an official royal residence at a specified point in time.
-
C.
royalPalaceFormerFunction
Indicates the previous primary role or use that a royal palace served before its current function.
-
D.
servedRoyalResidence
Indicates that an entity functioned as an official residence used by royalty.
-
E.
rebuiltAsPalace
Indicates that a structure or building was reconstructed or transformed into a palace.
- 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_69d6ab668acc8190963ba424049d6aee |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d924a3973c8190a882046963b320fb |
completed | April 10, 2026, 4:26 p.m. |
| PD | Predicate disambiguation | batch_69d91c41bcbc81909782f4e3c571b218 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:51 p.m.