Triple
T214727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FedEx |
E4793
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object |
FedEx Ground
FedEx Ground is a FedEx-operated shipping company specializing in cost-effective, day-definite ground package delivery across North America.
|
E4793
|
NE FINISHED |
How this triple was built (4 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: [FedEx, hasSubsidiary, FedEx Ground]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FedEx Ground Context triple: [FedEx, hasSubsidiary, FedEx Ground]
-
A.
FedEx
FedEx is a global courier delivery services company known for its overnight shipping and pioneering real-time package tracking.
-
B.
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.
-
C.
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.
-
D.
DHL
DHL is the Dag Hammarskjöld Library, the United Nations’ main research and information resource center located at its headquarters in New York.
-
E.
FedExField
FedExField is a large outdoor football stadium in Landover, Maryland, best known as the longtime home venue of Washington’s NFL franchise.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: FedEx Ground Triple: [FedEx, hasSubsidiary, FedEx Ground]
Generated description
FedEx Ground is a FedEx-operated shipping company specializing in cost-effective, day-definite ground package delivery across North America.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FedEx Ground Target entity description: FedEx Ground is a FedEx-operated shipping company specializing in cost-effective, day-definite ground package delivery across North America.
-
A.
FedEx
chosen
FedEx is a global courier delivery services company known for its overnight shipping and pioneering real-time package tracking.
-
B.
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.
-
C.
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.
-
D.
DHL
DHL is the Dag Hammarskjöld Library, the United Nations’ main research and information resource center located at its headquarters in New York.
-
E.
FedExField
FedExField is a large outdoor football stadium in Landover, Maryland, best known as the longtime home venue of Washington’s NFL franchise.
- F. None of above.
Provenance (5 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_69a2575cb1dc8190a01ad332426dc339 |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25c4ca0c8819093f63c6371e2d140 |
completed | Feb. 28, 2026, 3:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a34766506c8190a4c661410e0d8b33 |
completed | Feb. 28, 2026, 7:52 p.m. |
| NEDg | Description generation | batch_69a34c38fc2881908afe5d3ef34db98e |
completed | Feb. 28, 2026, 8:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a34ca4faec8190bd09fa0e87fe0bd5 |
completed | Feb. 28, 2026, 8:14 p.m. |
Created at: Feb. 28, 2026, 2:52 a.m.