Triple
T722827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Parcel Service |
E14654
|
entity |
| Predicate | competitor |
P1375
|
FINISHED |
| Object |
DHL
DHL is a global logistics and courier company known for its international express mail, freight transportation, and supply chain management services.
|
E88768
|
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: DHL | Statement: [United Parcel Service, competitor, DHL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DHL Context triple: [United Parcel Service, competitor, DHL]
-
A.
DHL
DHL is the Dag Hammarskjöld Library, the United Nations’ main research and information resource center located at its headquarters in New York.
-
B.
FedEx
FedEx is a global courier delivery services company known for its overnight shipping and pioneering real-time package tracking.
-
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.
Channel Express
Channel Express was a British airline that operated cargo and passenger services before rebranding and evolving into the low-cost carrier Jet2.com.
-
E.
HK Express
HK Express is a Hong Kong-based low-cost airline operating regional flights across Asia.
- 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: DHL Triple: [United Parcel Service, competitor, DHL]
Generated description
DHL is a global logistics and courier company known for its international express mail, freight transportation, and supply chain management services.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DHL Target entity description: DHL is a global logistics and courier company known for its international express mail, freight transportation, and supply chain management services.
-
A.
DHL
DHL is the Dag Hammarskjöld Library, the United Nations’ main research and information resource center located at its headquarters in New York.
-
B.
FedEx
FedEx is a global courier delivery services company known for its overnight shipping and pioneering real-time package tracking.
-
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.
Channel Express
Channel Express was a British airline that operated cargo and passenger services before rebranding and evolving into the low-cost carrier Jet2.com.
-
E.
HK Express
HK Express is a Hong Kong-based low-cost airline operating regional flights across Asia.
- F. None of above. chosen
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_69a4934c753c81909b309027e48b9b3a |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a5a5360c8190b16e1e4f4206d0aa |
completed | March 1, 2026, 8:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a654de91bc819088d495c8a9cb4133 |
completed | March 3, 2026, 3:26 a.m. |
| NEDg | Description generation | batch_69a6570367048190835a8cc857ea2773 |
completed | March 3, 2026, 3:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a6575696588190b59fc63ebf5f324a |
completed | March 3, 2026, 3:36 a.m. |
Created at: March 1, 2026, 7:37 p.m.