Triple
T22915218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Golf Championships events |
E568716
|
entity |
| Predicate | notableSponsor |
P1807
|
FINISHED |
| Object | FedEx |
—
|
NE NERFINISHED |
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 | Statement: [World Golf Championships events, notableSponsor, FedEx]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FedEx Context triple: [World Golf Championships events, notableSponsor, FedEx]
-
A.
FedEx
chosen
FedEx is a global courier delivery services company known for its overnight shipping and pioneering real-time package tracking.
-
B.
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.
-
C.
Forward Worldwide
Forward Worldwide is a media and content marketing agency that has been involved in sponsoring major UK literary and poetry awards.
-
D.
TNT Express
TNT Express is an international courier and logistics company known for its global parcel delivery and express mail services.
-
E.
StarTrack
StarTrack is an Australian logistics and freight company specializing in parcel delivery and express transport services.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2458d90c88190a58cead4e781ca6a |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18078077881908b8124cc22110c6e |
completed | April 29, 2026, 3:52 a.m. |
Created at: April 17, 2026, 3:42 p.m.