Triple
T16320271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UPS Worldport |
E396271
|
entity |
| Predicate | hasNightSortOperation |
P122692
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [UPS Worldport, hasNightSortOperation, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNightSortOperation Context triple: [UPS Worldport, hasNightSortOperation, true]
-
A.
hasSort
Indicates that one entity is associated with, or classified by, a particular sort, type, or category.
-
B.
requiresNighttimeOperation
Indicates that the action or process can only be carried out, or is intended to be carried out, during nighttime conditions.
-
C.
hasOrderingMethod
Indicates that there is a specific method or procedure used to place or arrange an order for something.
-
D.
hasFortnight
Indicates a relationship where an entity is associated with, spans, or is characterized by a time period of two weeks (a fortnight).
-
E.
hasInversionCount
Indicates that there is a specific number of pairwise order inversions present in a given sequence or arrangement.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e296b5f0f081909a5379deaf0df5d5 |
completed | April 17, 2026, 8:23 p.m. |
| PD | Predicate disambiguation | batch_69e219fc72c881909d452274e7af8238 |
completed | April 17, 2026, 11:31 a.m. |
| PDg | Predicate description generation | batch_69e21e56e0348190a3d9475360231a70 |
completed | April 17, 2026, 11:49 a.m. |
Created at: April 10, 2026, 5:06 a.m.