Triple

T2948983
Position Surface form Disambiguated ID Type / Status
Subject Southern Scotland E79571 entity
Predicate hasSettlement P1068 FINISHED
Object Melrose E107057 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: [Southern Scotland, hasSettlement, Melrose]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Melrose
Context triple: [Southern Scotland, hasSettlement, Melrose]
  • A. Melrose chosen
    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.
  • B. Melrose Park
    Melrose Park is a local public park and recreational area located in Chelsea, Alabama.
  • C. Melrose Park
    Melrose Park is a riverside suburb in Sydney, Australia, known for its residential character and proximity to the Parramatta River.
  • D. Melrose, Massachusetts
    Melrose, Massachusetts is a suburban city just north of Boston known for its historic residential neighborhoods, strong public schools, and convenient commuter access to the city.
  • E. Melrose, Bronx
    Melrose is a residential and commercial neighborhood in the South Bronx of New York City, known for its dense urban character, public housing developments, and ongoing revitalization efforts.
  • 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_69ad8b1089588190b74d9e2505e45762 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad98b6cab88190b4dee7e5ec9347e5 completed March 8, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0869732d08190bdb6f6c76411ade1 completed March 10, 2026, 9:01 p.m.
Created at: March 8, 2026, 2:57 p.m.