Triple
T23841636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ashes urn |
E591002
|
entity |
| Predicate | loanedFor |
P154150
|
FINISHED |
| Object | special exhibitions |
—
|
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: special exhibitions | Statement: [Ashes urn, loanedFor, special exhibitions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: loanedFor Context triple: [Ashes urn, loanedFor, special exhibitions]
-
A.
loanedTo
Indicates that one entity has temporarily provided something it owns or controls to another entity with the expectation of its return.
-
B.
lendAt
Indicates that one entity provides something (typically money or an asset) to another entity for temporary use under agreed terms, usually expecting its return or repayment.
-
C.
wasLeasedFor
Indicates that one entity was leased in exchange for a specified payment amount, purpose, or consideration.
-
D.
hasLongerRepaymentTermThan
Indicates that the repayment term of one entity (e.g., a loan or debt) is longer in duration than the repayment term of another entity.
-
E.
timeHorizonOfLoans
Indicates the length of time over which loans are scheduled to be outstanding or repaid.
- 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_69e25d1de32c8190a907afe9c3d6cd6d |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c888c13c8190b85d2cd425ee84dc |
completed | April 29, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f1614612b481908c45d99e588882f9 |
completed | April 29, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f16e348b548190b76e50f9b611f76d |
completed | April 29, 2026, 2:34 a.m. |
Created at: April 17, 2026, 8:08 p.m.