Triple

T607415
Position Surface form Disambiguated ID Type / Status
Subject Lombard Street E12024 entity
Predicate connectsTo P845 FINISHED
Object Hyde Street E29954 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: Hyde Street | Statement: [Lombard Street, connectsTo, Hyde Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hyde Street
Context triple: [Lombard Street, connectsTo, Hyde Street]
  • A. Hyde Street chosen
    Hyde Street is a well-known thoroughfare in San Francisco, famous for its steep hills, scenic views, and role as a popular route for the city’s historic cable cars.
  • B. Hampshire Street
    Hampshire Street is a roadway in Cambridge, Massachusetts, that runs through the Inman Square neighborhood and connects it with other parts of the city.
  • C. Arlington Street
    Arlington Street is a major thoroughfare in Boston’s Back Bay neighborhood, running along the eastern edge of the Boston Public Garden and lined with historic buildings.
  • D. Threadneedle Street
    Threadneedle Street is a historic street in the City of London best known as the long-standing home of the Bank of England and a major center of the UK’s financial district.
  • E. Argyle Street
    Argyle Street is one of Glasgow’s main shopping and thoroughfare streets, running through the city centre and known for its retail outlets and busy pedestrian traffic.
  • 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_69a493309df48190a327f748e88049a6 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49df34abc8190a578c8c2ab3d28e4 completed March 1, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac4279b23c8190854732f4d6d5d6cd completed March 7, 2026, 3:21 p.m.
Created at: March 1, 2026, 7:35 p.m.