Triple

T7330656
Position Surface form Disambiguated ID Type / Status
Subject College Hill E168989 entity
Predicate contains P35 FINISHED
Object Benefit Street E176518 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: Benefit Street | Statement: [College Hill, contains, Benefit Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Benefit Street
Context triple: [College Hill, contains, Benefit Street]
  • A. Benefit Street chosen
    Benefit Street is a historic thoroughfare in Providence, Rhode Island, renowned for its well-preserved 18th- and 19th-century architecture and colonial-era charm.
  • B. Hope Street
    Hope Street is a major thoroughfare in downtown Los Angeles, California, running through the historic Bunker Hill area and connecting key cultural and commercial districts.
  • C. Hancock Street
    Hancock Street is a major thoroughfare in Quincy, Massachusetts, lined with shops, businesses, and residential buildings and serving as a key local connector.
  • D. Nevins Street
    Nevins Street is a New York City Subway station in Downtown Brooklyn that serves as a key stop on the IRT Eastern Parkway Line.
  • E. Spring Street
    Spring Street is a prominent thoroughfare in central Melbourne, Australia, known for its concentration of significant government buildings and historic architecture.
  • 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_69c68a568a6481908f11e20db7bc8446 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f0ab0b1881909f8f086b81fdddb7 completed March 27, 2026, 9:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ef16f35881909fffba1df072f0d6 completed March 28, 2026, 3:09 p.m.
Created at: March 27, 2026, 3:03 p.m.