Triple

T16242885
Position Surface form Disambiguated ID Type / Status
Subject MacDougal Street E394296 entity
Predicate hasIntersectionWith P13379 FINISHED
Object Spring Street E1202588 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: Spring Street | Statement: [MacDougal Street, hasIntersectionWith, Spring Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spring Street
Context triple: [MacDougal Street, hasIntersectionWith, Spring Street]
  • A. Spring Street
    Spring Street is a local roadway that intersects at Inman Square in Cambridge, Massachusetts, contributing to the neighborhood’s dense urban street grid.
  • B. Spring Street
    Spring Street is a prominent thoroughfare in central Melbourne, Australia, known for its concentration of significant government buildings and historic architecture.
  • C. Spring Street
    Spring Street is a primary roadway and commercial corridor running through the West Roxbury neighborhood of Boston, Massachusetts.
  • D. Spring Street chosen
    Spring Street is a street in Lower Manhattan, New York City, known for running through the SoHo neighborhood and its mix of historic buildings, boutiques, and restaurants.
  • E. Brown Street
    Brown Street is a notable street in Salisbury, England, known for its mix of historic character and local businesses.
  • 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_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24560060c8190ace4f4c0bd0d886d completed April 17, 2026, 2:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b274fa3481908b019036cd2ae627 completed May 10, 2026, 4:29 p.m.
Created at: April 10, 2026, 5:04 a.m.