Triple

T14117298
Position Surface form Disambiguated ID Type / Status
Subject Bernard Kroger E339804 entity
Predicate associatedWith P37 FINISHED
Object Kroger supermarket chain E68030 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: Kroger supermarket chain | Statement: [Bernard Kroger, associatedWith, Kroger supermarket chain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kroger supermarket chain
Context triple: [Bernard Kroger, associatedWith, Kroger supermarket chain]
  • A. Kroger chosen
    Kroger is one of the largest supermarket and retail grocery chains in the United States, operating thousands of stores under various banners nationwide.
  • B. First National Supermarket
    First National Supermarket is a regional grocery store chain where employees like Tami-Lynn work in various retail and customer service roles.
  • C. Harris Teeter
    Harris Teeter is a regional American supermarket chain known for its grocery stores primarily located in the Southeastern and Mid-Atlantic United States.
  • D. Safeway
    Safeway is a major American supermarket chain offering groceries, household goods, and pharmacy services across numerous locations.
  • E. Albertsons
    Albertsons is a major American supermarket and grocery retail chain operator with stores across numerous states under various regional banners.
  • 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de609322ac8190bb389ca250882af5 completed April 14, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd19356478819083406440c22c38e2 completed May 7, 2026, 10:59 p.m.
Created at: April 9, 2026, 10:22 p.m.