Triple

T11637580
Position Surface form Disambiguated ID Type / Status
Subject Scottish Borders E276565 entity
Predicate containsSettlement P847 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: [Scottish Borders, containsSettlement, Melrose]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Melrose
Context triple: [Scottish Borders, containsSettlement, 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
    Melrose is a residential and commercial neighborhood in the South Bronx of New York City known for its dense urban character and diverse community.
  • C. Melrose
    Melrose is a residential neighborhood located within the borough of Sayreville in Middlesex County, New Jersey.
  • D. Melrose
    Melrose is a suburban city in Middlesex County, Massachusetts, known for its residential neighborhoods and proximity to Boston.
  • E. 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.
  • 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_69d6aafa51148190ab84940694c00235 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a25d80208190b33e95db2e7cc276 completed April 10, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee87d006e881908e008ffa17502d47 completed April 26, 2026, 9:46 p.m.
Created at: April 8, 2026, 9:39 p.m.