Triple
T14720465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Château de Candé |
E345797
|
entity |
| Predicate | functionDuringWedding |
P115515
|
FINISHED |
| Object | private residence of Charles Bedaux |
—
|
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: private residence of Charles Bedaux | Statement: [Château de Candé, functionDuringWedding, private residence of Charles Bedaux]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: functionDuringWedding Context triple: [Château de Candé, functionDuringWedding, private residence of Charles Bedaux]
-
A.
guestAtWedding
Indicates that a person is attending or has attended a particular wedding as a guest.
-
B.
premiereOccasion
Indicates the event or context in which something (such as a work, show, or product) is first publicly presented or launched.
-
C.
specialOccasion
Indicates that an event or situation is associated with a notable or exceptional occasion, such as a celebration, milestone, or culturally significant date.
-
D.
finalOccasion
Indicates that an event or occurrence is the last or concluding instance in a sequence or series.
-
E.
nuptialFlightTrigger
Indicates the condition or event that initiates or triggers a nuptial flight between mating individuals.
- 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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb98823408190b4b58a4c4a3fa3a3 |
completed | April 14, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_69de657e174481909da0437556334a04 |
completed | April 14, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69de716d3aac8190aaa6dc1f099b86e8 |
completed | April 14, 2026, 4:55 p.m. |
Created at: April 10, 2026, 1:29 a.m.