Triple

T2951882
Position Surface form Disambiguated ID Type / Status
Subject GEICO E79837 entity
Predicate hasCompetitor P1375 FINISHED
Object State Farm E73975 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: State Farm | Statement: [GEICO, hasCompetitor, State Farm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: State Farm
Context triple: [GEICO, hasCompetitor, State Farm]
  • A. State Farm Insurance chosen
    State Farm Insurance is a large U.S.-based group of insurance and financial services companies best known for its auto and home insurance offerings and extensive national advertising presence.
  • B. American Family Insurance
    American Family Insurance is a major U.S.-based mutual insurance company offering auto, home, life, and other insurance products across multiple states.
  • C. Allstate
    Allstate is a major American insurance company best known for its auto and home insurance services and its long-running national advertising campaigns.
  • D. GEICO
    GEICO is a major American auto insurance company best known for its direct-to-consumer model and iconic advertising campaigns featuring the GEICO Gecko.
  • E. Northwestern Mutual
    Northwestern Mutual is a major American financial services and insurance company known for its life insurance, investment, and wealth management products.
  • 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_69ad8b1276588190a374a0b12e0f7bdf completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad98fcea5c8190b7d80de942bcb4f7 completed March 8, 2026, 3:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0fc7edc808190863ec8f99efa3875 completed March 11, 2026, 5:24 a.m.
Created at: March 8, 2026, 2:57 p.m.