Triple

T4466105
Position Surface form Disambiguated ID Type / Status
Subject electoral district of Cessnock E98380 entity
Predicate hasBorderWith P224 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: [electoral district of Cessnock, hasBorderWith, Charlestown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charlestown
Context triple: [electoral district of Cessnock, hasBorderWith, Charlestown]
  • A. Charlestown
    Charlestown is a district in north Manchester, England, known as a primarily residential area with local amenities and community facilities.
  • B. Charlestown
    Charlestown is the main town and administrative center of the Caribbean island of Nevis, known for its colonial architecture and historic hot springs.
  • 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_69b3454a7c608190944f5455c8031d73 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b356991a588190be2f95fd957d7f99 completed March 13, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69b672251b408190b3883a6895c154d7 completed March 15, 2026, 8:47 a.m.
Created at: March 12, 2026, 11:34 p.m.