Triple

T15203858
Position Surface form Disambiguated ID Type / Status
Subject Roosevelt Boulevard E363334 entity
Predicate hasIntersectionWith P13379 FINISHED
Object Broad Street E593668 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: Broad Street | Statement: [Roosevelt Boulevard, hasIntersectionWith, Broad Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Broad Street
Context triple: [Roosevelt Boulevard, hasIntersectionWith, Broad Street]
  • A. Broad Street
    Broad Street is a major thoroughfare in Reading, Berkshire, known for its central shopping area and pedestrianized retail district.
  • B. Broad Street chosen
    Broad Street is a major north–south thoroughfare in Philadelphia, Pennsylvania, known for running through Center City and serving as a central artery of the city’s street grid.
  • C. Broad Street
    Broad Street is a major thoroughfare in downtown Boston, Massachusetts, known for its historic significance and proximity to key financial and waterfront districts.
  • D. Broad Street
    Broad Street is the main commercial high street serving the suburban area of Staple Hill in South Gloucestershire, England.
  • E. Broad Street
    Broad Street is a major thoroughfare in Seattle, Washington, known for connecting the downtown area to the waterfront and key attractions like the Space Needle.
  • 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e006b693a48190a6230b7b52bc8cd3 completed April 15, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69fed33b911c8190815341a342a8d3c8 completed May 9, 2026, 6:24 a.m.
Created at: April 10, 2026, 3:10 a.m.