Triple

T17371779
Position Surface form Disambiguated ID Type / Status
Subject Portland downtown street network E422333 entity
Predicate hasComponent P35 FINISHED
Object 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: High Street | Statement: [Portland downtown street network, hasComponent, High Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: High Street
Context triple: [Portland downtown street network, hasComponent, High Street]
  • A. 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.
  • B. 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.
  • C. High Street
    High Street is the main commercial and shopping thoroughfare in the town of Oxted, lined with shops, cafes, and local businesses.
  • D. High Street chosen
    High Street is a primary commercial and thoroughfare road running through Medford Square in Medford, Massachusetts.
  • E. High Street
    High Street is the main commercial and social thoroughfare in the village of Hawkhurst, Kent, lined with shops, services, and local amenities.
  • 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a69d93c81908ce2d909857a3a11 completed April 19, 2026, 2:14 a.m.
Created at: April 10, 2026, 5:44 a.m.