Triple

T664294
Position Surface form Disambiguated ID Type / Status
Subject Orange Bowl E12824 entity
Predicate previousSponsor P17776 FINISHED
Object FedEx E4793 NE FINISHED

How this triple was built (3 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: [Orange Bowl, previousSponsor, FedEx]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FedEx
Context triple: [Orange Bowl, previousSponsor, 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. DHL
    DHL is the Dag Hammarskjöld Library, the United Nations’ main research and information resource center located at its headquarters in New York.
  • D. FedExField
    FedExField is a large outdoor football stadium in Landover, Maryland, best known as the longtime home venue of Washington’s NFL franchise.
  • E. YRC Worldwide
    YRC Worldwide is a large American less-than-truckload (LTL) freight transportation and logistics company headquartered in Overland Park, Kansas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: previousSponsor
Context triple: [Orange Bowl, previousSponsor, FedEx]
  • A. previousSponsorshipName
    Indicates that an entity had a different sponsorship name in the past, specifying what that prior sponsored name was.
  • B. sponsors
    Indicates that one entity provides financial or material support to another, often in exchange for association, promotion, or fulfillment of certain activities or goals.
  • C. previousVenue
    Indicates that one venue was used or occupied before another in a sequence of venues.
  • D. sponsorshipName
    Indicates the name or title associated with a sponsorship relationship between entities.
  • E. coSponsor
    Indicates that an entity jointly supports, endorses, or backs an initiative, proposal, or activity together with one or more others.
  • 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_69a493355dec819098d4244b2fa34885 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49fd3d8fc8190866af5c76c08f486 completed March 1, 2026, 8:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5c39abcbc819093797700dc32d25a completed March 2, 2026, 5:06 p.m.
PD Predicate disambiguation batch_69a49d16cff881908c8d2c3fe4d1d6fb completed March 1, 2026, 8:09 p.m.
PDg Predicate description generation batch_69a49df0de3c81909721eb391ec94031 completed March 1, 2026, 8:13 p.m.
Created at: March 1, 2026, 7:36 p.m.