Triple
T25257162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UPI |
E633200
|
entity |
| Predicate | typicalSettlementTime |
P189698
|
FINISHED |
| Object | real-time |
—
|
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: real-time | Statement: [UPI, typicalSettlementTime, real-time]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalSettlementTime Context triple: [UPI, typicalSettlementTime, real-time]
-
A.
settlementPeriod
Indicates the length of time between a transaction or agreement and its final settlement or completion.
-
B.
associatedSettlementPeriod
Indicates a temporal period during which a particular settlement is or was occupied, active, or otherwise relevant.
-
C.
hasTypicalSettlementSize
Indicates that an entity is associated with a characteristic or usual size of its settlements (e.g., population or spatial extent).
-
D.
settlementTerm
Indicates the agreed conditions, timing, and method by which an obligation, transaction, or dispute is settled between parties.
-
E.
possibleSettlementAt
Indicates that a settlement could potentially be established or located at a given place or site.
- 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_69e75a922ad481908f4f1f884583cb42 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69fbca6c066c8190a1599202f341417f |
completed | May 6, 2026, 11:10 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ec03ac8190a757563f96fab283 |
completed | May 6, 2026, 11:04 p.m. |
| PDg | Predicate description generation | batch_69fbc9d0854c8190aa00093274afebb8 |
completed | May 6, 2026, 11:08 p.m. |
Created at: April 21, 2026, 1:13 p.m.