Triple

T7851141
Position Surface form Disambiguated ID Type / Status
Subject South Bronx E182055 entity
Predicate contains P35 FINISHED
Object Melrose E636833 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: Melrose | Statement: [South Bronx, contains, Melrose]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Melrose
Context triple: [South Bronx, contains, Melrose]
  • A. Melrose chosen
    Melrose is a residential and commercial neighborhood in the South Bronx of New York City known for its dense urban character and diverse community.
  • B. Melrose
    Melrose is a historic town in the Scottish Borders, best known for the ruins of Melrose Abbey and its picturesque setting near the River Tweed.
  • C. Melrose
    Melrose is a residential neighborhood located within the borough of Sayreville in Middlesex County, New Jersey.
  • D. Melrose District
    Melrose District is a trendy Los Angeles neighborhood known for its fashion boutiques, street art, and vibrant shopping and dining scene along Melrose Avenue.
  • E. Melrose Park
    Melrose Park is a local public park and recreational area located in Chelsea, Alabama.
  • 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_69ca82869ee08190b8f9040dbc2c0467 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb18eaac508190bf373b1d50b52e1e completed March 31, 2026, 12:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b0d95748190a202258214dda2ae completed March 31, 2026, 5:26 a.m.
Created at: March 30, 2026, 4:50 p.m.