Triple

T23211672
Position Surface form Disambiguated ID Type / Status
Subject Northwest street numbering system of Washington, D.C. E580608 entity
Predicate sharesPatternWith P5696 FINISHED
Object Northeast street numbering system of Washington, D.C. LITERAL 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: Northeast street numbering system of Washington, D.C. | Statement: [Northwest street numbering system of Washington, D.C., sharesPatternWith, Northeast street numbering system of Washington, D.C.]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: sharesPatternWith
Context triple: [Northwest street numbering system of Washington, D.C., sharesPatternWith, Northeast street numbering system of Washington, D.C.]
  • A. sharesWith
    Indicates that one entity gives another entity access to or use of something it possesses.
  • B. sharesUniverseWith
    Indicates that two entities exist within the same fictional or narrative universe, implying shared continuity, setting, or canon.
  • C. sharesFeatureWith chosen
    Indicates that two entities have at least one common attribute, property, or characteristic in common.
  • D. sharesModuleWith
    Indicates that two entities are associated with or participate in at least one common module.
  • E. sharesDateWith
    Indicates that two entities occur, are scheduled, or are associated on the same calendar date.
  • F. None of above.

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_69e24602ae1481908aaa6bc7ca493867 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f191620378819096362252c3b819b6 completed April 29, 2026, 5:04 a.m.
PD Predicate disambiguation batch_69effcccee508190a7ae311fdd319806 completed April 28, 2026, 12:18 a.m.
Created at: April 17, 2026, 4:07 p.m.