Triple

T5418558
Position Surface form Disambiguated ID Type / Status
Subject Charlestown harbour E121191 entity
Predicate serves P98 FINISHED
Object Charlestown E260151 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: Charlestown | Statement: [Charlestown harbour, serves, Charlestown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charlestown
Context triple: [Charlestown harbour, serves, Charlestown]
  • A. Charlestown
    Charlestown is the main town and administrative center of the Caribbean island of Nevis, known for its colonial architecture and historic hot springs.
  • B. Charlestown
    Charlestown is a district in north Manchester, England, known as a primarily residential area with local amenities and community facilities.
  • C. Dorchester
    Dorchester is one of the earliest English settlements in New England, now a historic neighborhood of Boston, Massachusetts.
  • D. Dorchester
    Dorchester is a historic market town in Dorset, England, known as the county town and closely associated with the life and works of novelist Thomas Hardy.
  • E. Charlestown waterfront chosen
    The Charlestown waterfront is a historic Boston harbor area known for its scenic Harborwalk paths, maritime heritage, and views of landmarks like the USS Constitution and Bunker Hill.
  • 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_69bd463b58d88190b258261573de9e91 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd87e7ae388190b26d16d42e717023 completed March 20, 2026, 5:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf487beb188190be0adf8f88048a56 completed March 22, 2026, 1:40 a.m.
Created at: March 20, 2026, 2:05 p.m.