Triple

T41482
Position Surface form Disambiguated ID Type / Status
Subject Shirlington E817 entity
Predicate near P350 FINISHED
Object Pentagon City E9982 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: Pentagon City | Statement: [Shirlington, near, Pentagon City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pentagon City
Context triple: [Shirlington, near, Pentagon City]
  • A. Pentagon City chosen
    Pentagon City is a dense, mixed-use urban neighborhood in Arlington, Virginia, known for its major shopping mall, high-rise offices and apartments, and proximity to the Pentagon and central Washington, D.C.
  • B. Crystal City
    Crystal City is an urban neighborhood in Arlington, Virginia, known for its high-rise offices, residential towers, and proximity to Washington, D.C.
  • C. Herndon
    Herndon is a suburban town in Fairfax County, Virginia, known for its proximity to Washington, D.C. and Dulles International Airport.
  • D. Arlington
    Arlington is a suburban town in Middlesex County, Massachusetts, located northwest of Boston and known for its historic sites and residential character.
  • E. Reston
    Reston is a planned community in Fairfax County, Virginia, known for its pioneering mixed-use design, extensive green spaces, and vibrant residential and commercial centers.
  • 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_69a247a8f6c08190bac804906d62ed5a completed Feb. 28, 2026, 1:40 a.m.
NER Named-entity recognition batch_69a24ae0b7c4819092220568e8e52ad5 completed Feb. 28, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3999fcbdc819094de957fb0a50eb8 completed March 1, 2026, 1:42 a.m.
Created at: Feb. 28, 2026, 1:46 a.m.