Triple

T32020612
Position Surface form Disambiguated ID Type / Status
Subject MIT Building 37 E817676 entity
Predicate buildingNumberingSystem P49387 FINISHED
Object MIT building number system 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: MIT building number system | Statement: [MIT Building 37, buildingNumberingSystem, MIT building number system]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: buildingNumberingSystem
Context triple: [MIT Building 37, buildingNumberingSystem, MIT building number system]
  • A. hasStreetNumberingSystem chosen
    Indicates that a location or area uses an organized system for assigning numbers to buildings or addresses along its streets.
  • B. postalCodeSystem
    Indicates a system that assigns structured postal codes to geographic areas for organizing and routing mail.
  • C. policeNumberingSystem
    Indicates a system by which police assign and manage identification numbers to cases, incidents, or personnel.
  • D. hasStreetNumberingRole
    Indicates that an entity serves a specific function or responsibility related to assigning, managing, or representing street numbers within an addressing system.
  • E. numberingSystemBasedOn
    Indicates that one numbering system is derived from, structured according to, or conceptually dependent on another numbering system.
  • 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_69f348fb04e4819081f4eab040ed7959 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6b466aaa08190bcafc15b3b2d3d31 completed May 3, 2026, 2:35 a.m.
PD Predicate disambiguation batch_69f6b151ad008190836c1bcdec503ce2 completed May 3, 2026, 2:22 a.m.
Created at: May 1, 2026, 12:16 a.m.