Triple
T23984256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cellini Salt Cellar |
E604586
|
entity |
| Predicate | theftLocation |
P106838
|
FINISHED |
| Object | Kunsthistorisches Museum, Vienna |
—
|
NE NERFINISHED |
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: Kunsthistorisches Museum, Vienna | Statement: [Cellini Salt Cellar, theftLocation, Kunsthistorisches Museum, Vienna]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: theftLocation Context triple: [Cellini Salt Cellar, theftLocation, Kunsthistorisches Museum, Vienna]
-
A.
placeOfTheft
chosen
Indicates the location where a theft occurred.
-
B.
locationBeforeTheft
Indicates the place where an entity was situated immediately prior to the theft event.
-
C.
locationOfInsigniaTheft
Indicates the place where the theft of an insignia occurred.
-
D.
theftStatus
Indicates the current state or condition of an entity with respect to being stolen, such as whether it has been reported, confirmed, or suspected as theft.
-
E.
stolenDuring
Indicates that one entity was stolen in the course of, or at the time of, another specified event or time period.
- 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_69e29543f40c819087700b7a272afb60 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d2c045e081909b70d9aabbe4fdd2 |
completed | April 29, 2026, 9:43 a.m. |
| PD | Predicate disambiguation | batch_69f161578d54819084a8b35496299993 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:31 p.m.