Triple

T12244625
Position Surface form Disambiguated ID Type / Status
Subject The Tour Championship E291819 entity
Predicate sponsor P67 FINISHED
Object FedEx 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 | Statement: [The Tour Championship, sponsor, FedEx]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FedEx
Context triple: [The Tour Championship, sponsor, 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. TNT Express
    TNT Express is an international courier and logistics company known for its global parcel delivery and express mail services.
  • 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. DHL
    DHL is a global logistics and courier company known for its international express mail, freight transportation, and supply chain management services.
  • 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_69d6ab67950c8190be08450a06228c4b completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cb724448190be29fc1d2b946ab7 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62a9057408190a25f44d773b2b178 completed May 2, 2026, 4:47 p.m.
Created at: April 8, 2026, 9:51 p.m.