Triple
T5106624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haga Palace |
E115110
|
entity |
| Predicate | reopenedAsRoyalResidence |
P39332
|
FINISHED |
| Object | 2010 |
—
|
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: 2010 | Statement: [Haga Palace, reopenedAsRoyalResidence, 2010]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reopenedAsRoyalResidence Context triple: [Haga Palace, reopenedAsRoyalResidence, 2010]
-
A.
usedAsRoyalResidenceUntil
Indicates that something served as a royal residence up to a specified point in time.
-
B.
becameRoyalResidenceIn
Indicates that a place or building started serving as an official royal residence at a specified point in time.
-
C.
startDateOfCurrentUseAsRoyalResidence
chosen
Indicates the date on which a place or building began its current period of use as a royal residence.
-
D.
rebuiltAsPalace
Indicates that a structure or building was reconstructed or transformed into a palace.
-
E.
servedAsImperialResidenceFrom
Indicates that an entity functioned as an imperial residence starting from a specified point in time.
- 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_69bd4440b3348190be1251fd8b7951f1 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd75a7c6748190b02b7c2b617c830f |
completed | March 20, 2026, 4:28 p.m. |
| PD | Predicate disambiguation | batch_69bd715fe3a8819087d3065adddba515 |
completed | March 20, 2026, 4:10 p.m. |
Created at: March 20, 2026, 1:41 p.m.