Triple
T3837985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UPS Worldwide Express |
E91181
|
entity |
| Predicate | supportsSaturdayDelivery |
P52301
|
FINISHED |
| Object | in selected areas |
—
|
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: in selected areas | Statement: [UPS Worldwide Express, supportsSaturdayDelivery, in selected areas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsSaturdayDelivery Context triple: [UPS Worldwide Express, supportsSaturdayDelivery, in selected areas]
-
A.
delivers
Indicates that one entity transports or hands over something to another entity as intended or required.
-
B.
ultimateFulfillmentAt
Indicates that something reaches its highest or final state of completion, satisfaction, or realization at a specified point, place, or condition.
-
C.
deliverySystem
Indicates a system, method, or mechanism by which something (such as a product, service, or substance) is transported, distributed, or conveyed from a source to a recipient.
-
D.
supportsBonus
Indicates that one entity provides or enables an additional benefit, reward, or bonus for another entity.
-
E.
supportsUse
Indicates that one entity enables, allows, or is compatible with the use or operation of another entity.
- 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_69aed960b538819096561c8ed448dec9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeeb9d11f081909fc51e84657ec7f1 |
completed | March 9, 2026, 3:47 p.m. |
| PD | Predicate disambiguation | batch_69aee74dcecc819098285483ec721b40 |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aeeb828fb08190901d51edbe8bd304 |
completed | March 9, 2026, 3:47 p.m. |
Created at: March 9, 2026, 3:18 p.m.