Triple

T736791
Position Surface form Disambiguated ID Type / Status
Subject AutoZone E14951 entity
Predicate hasSlogan P42 FINISHED
Object AutoZone E14951 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: AutoZone | Statement: [AutoZone, hasSlogan, AutoZone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AutoZone
Context triple: [AutoZone, hasSlogan, AutoZone]
  • A. AutoZone chosen
    AutoZone is a leading American retailer and distributor of automotive replacement parts and accessories, operating thousands of stores across the United States and beyond.
  • B. Dealertrack
    Dealertrack is a leading automotive retail software and services provider that offers dealers and lenders digital solutions for sales, financing, and workflow management.
  • C. Lowe's
    Lowe's is a major American home improvement retail chain known for selling hardware, building materials, appliances, and related products to both DIY customers and professionals.
  • D. Orange Garage
    Orange Garage is a multi-level parking facility serving visitors to the Disney Springs shopping, dining, and entertainment district at Walt Disney World Resort in Florida.
  • E. Habitat ReStore
    Habitat ReStore is a nonprofit home improvement retail outlet that sells donated building materials, furniture, and appliances to fund Habitat for Humanity’s affordable housing efforts.
  • 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_69a4934d9930819099eed80096b0597d completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a5effc108190aea8fbe86641ba54 completed March 1, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69a654e1d10c8190b69b30cc70add604 completed March 3, 2026, 3:26 a.m.
Created at: March 1, 2026, 7:37 p.m.