Triple

T20241239
Position Surface form Disambiguated ID Type / Status
Subject Sweeps Festival E498295 entity
Predicate hasMainVenue P5921 FINISHED
Object Rochester High Street — NE NERFINISHED

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: Rochester High Street | Statement: [Sweeps Festival, hasMainVenue, Rochester High Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rochester High Street
Context triple: [Sweeps Festival, hasMainVenue, Rochester High Street]
  • A. Rochester High Street chosen
    Rochester High Street is the historic main thoroughfare of Rochester’s old town, known for its preserved architecture, independent shops, and cultural landmarks.
  • B. High Street
    High Street in Totnes is the town’s main historic thoroughfare, known for its independent shops, medieval architecture, and vibrant local character.
  • C. High Street
    High Street was the original name of Philadelphia’s present-day Market Street, a major east–west thoroughfare and historic commercial artery in the city.
  • D. High Street
    High Street is a central thoroughfare in New Haven, Connecticut, running alongside Yale University's Old Campus and lined with historic academic and civic buildings.
  • E. High Street
    High Street is the main commercial and social thoroughfare in the coastal town of Burntisland, Scotland, lined with shops, services, and local businesses.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6274c58c81909c646eabed6f4f30 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6716eabf48190ae4e760f472114bd completed April 20, 2026, 6:33 p.m.
Created at: April 11, 2026, 11:40 p.m.