Triple
T4147488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UPS Ground |
E89819
|
entity |
| Predicate | isAlternativeTo |
P5887
|
FINISHED |
| Object | FedEx Ground |
E4793
|
NE 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: FedEx Ground | Statement: [UPS Ground, isAlternativeTo, FedEx Ground]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FedEx Ground Context triple: [UPS Ground, isAlternativeTo, FedEx Ground]
-
A.
FedEx
chosen
FedEx is a global courier delivery services company known for its overnight shipping and pioneering real-time package tracking.
-
B.
TNT Express
TNT Express is an international courier and logistics company known for its global parcel delivery and express mail services.
-
C.
UPS Ground
UPS Ground is a domestic ground shipping service from UPS that provides reliable, day-definite delivery of packages at an economical rate.
-
D.
USPS Retail Ground
USPS Retail Ground is an economical U.S. Postal Service shipping option for sending larger, heavier packages over land within the United States.
-
E.
United Parcel Service (UPS)
United Parcel Service (UPS) is a global package delivery and supply chain management company known for its extensive logistics network and brown delivery trucks.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69aed95a59a881909b26e70b42c6811a |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af026130bc8190ae3b0e9bec5ccad6 |
completed | March 9, 2026, 5:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b576d5379081908300afbb3a6fe5e4 |
completed | March 14, 2026, 2:55 p.m. |
Created at: March 9, 2026, 3:43 p.m.