Triple

T2252789
Position Surface form Disambiguated ID Type / Status
Subject Globe Life Field E49652 entity
Predicate city P40 FINISHED
Object Arlington E64 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: Arlington | Statement: [Globe Life Field, city, Arlington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arlington
Context triple: [Globe Life Field, city, Arlington]
  • A. Arlington
    Arlington is a suburban town in Middlesex County, Massachusetts, located northwest of Boston and known for its historic sites and residential character.
  • B. Arlington, Virginia chosen
    Arlington, Virginia is an urban county directly across the Potomac River from Washington, D.C., known for its dense development, federal government agencies, and landmarks such as the Pentagon and Arlington National Cemetery.
  • C. Herndon
    Herndon is a suburban town in Fairfax County, Virginia, known for its proximity to Washington, D.C. and Dulles International Airport.
  • D. Falls Church
    Falls Church is an independent city in Northern Virginia, near Washington, D.C., known for its small size, historic character, and suburban residential communities.
  • E. Leesburg
    Leesburg is a historic town in Loudoun County that serves as a suburban hub of Northern Virginia near Washington, D.C.
  • 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_69a88aaa9250819095e127d0d77e8a32 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc11eb2708190bc5a3d152a3bb133 completed March 7, 2026, 6:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69b360793f908190b0341c003207cc6f completed March 13, 2026, 12:55 a.m.
Created at: March 4, 2026, 7:47 p.m.