Triple

T1597536
Position Surface form Disambiguated ID Type / Status
Subject Manchester-by-the-Sea E34317 entity
Predicate borderedBy P224 FINISHED
Object Beverly E194211 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: Beverly | Statement: [Manchester-by-the-Sea, borderedBy, Beverly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beverly
Context triple: [Manchester-by-the-Sea, borderedBy, Beverly]
  • A. Beverly, Massachusetts chosen
    Beverly, Massachusetts is a coastal city in Essex County known as a historic North Shore community often associated with early American maritime and industrial development.
  • B. Norwood
    Norwood is the surname of American singer, songwriter, and actress Brandy, known for her influential R&B music career and roles in film and television.
  • C. Medford
    Medford is a city in southern Oregon that serves as a regional commercial and transportation hub in the Rogue Valley.
  • D. Winthrop Beach
    Winthrop Beach is a popular public beach in Winthrop, Massachusetts, known for its sandy shoreline, views of Boston Harbor, and role as a local recreation spot.
  • E. Downey
    Downey is the surname of American actor Robert Downey Jr., widely known for his versatile film career and iconic role as Iron Man in the Marvel Cinematic Universe.
  • 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_69a885fdcb9c819081ce6f0b8cd477dd completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9092f5f148190b987bc943e89e29c completed March 5, 2026, 4:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc61b715c81908bb4849b03617d85 completed March 10, 2026, 7:19 a.m.
Created at: March 4, 2026, 7:27 p.m.