Triple

T5013728
Position Surface form Disambiguated ID Type / Status
Subject Cross Insurance Arena E112689 entity
Predicate sponsor P67 FINISHED
Object Cross Insurance E436464 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: Cross Insurance | Statement: [Cross Insurance Arena, sponsor, Cross Insurance]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cross Insurance
Context triple: [Cross Insurance Arena, sponsor, Cross Insurance]
  • A. Cross Insurance chosen
    Cross Insurance is a regional insurance company known for providing a wide range of personal and commercial insurance products, particularly throughout New England.
  • B. Cross Insurance Center
    Cross Insurance Center is a multi-purpose arena and convention facility in Bangor, Maine, hosting sports events, concerts, and large-scale gatherings.
  • C. Esurance
    Esurance is a U.S.-based online-focused auto and home insurance company known for its direct-to-consumer model and digital tools for buying and managing policies.
  • D. National Indemnity Company
    National Indemnity Company is a major U.S. property and casualty insurer best known as a core insurance subsidiary of Berkshire Hathaway.
  • E. Allstate
    Allstate is a major American insurance company best known for its auto and home insurance services and its long-running national advertising campaigns.
  • 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_69bd4434acb8819086679dbeccc2fe54 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7310c5b08190a5c9ab0f9fe9569f completed March 20, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9271eccc8190bbe9bdb876b41cb8 completed March 21, 2026, 12:43 p.m.
Created at: March 20, 2026, 1:35 p.m.