Triple

T4175734
Position Surface form Disambiguated ID Type / Status
Subject Route 129 E86470 entity
Predicate connectsCommunity P12608 FINISHED
Object Chelmsford E329302 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: Chelmsford | Statement: [Route 129, connectsCommunity, Chelmsford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chelmsford
Context triple: [Route 129, connectsCommunity, Chelmsford]
  • A. Chelmsford
    Chelmsford is a historic cathedral city in Essex, England, known as a major commercial and administrative center and for being one of the UK's newest cities, granted status in 2012.
  • B. Chelmsford chosen
    Chelmsford is a suburban town in northeastern Massachusetts known for its residential communities, local history, and proximity to the city of Lowell.
  • C. Ipswich
    Ipswich is a historic city in South East Queensland, Australia, known for its heritage architecture and role as a major residential and industrial hub west of Brisbane.
  • D. Ipswich
    Ipswich is a historic town and port in Suffolk, England, known as one of the country’s oldest continuously inhabited settlements.
  • E. Haverhill
    Haverhill is a market town in Suffolk, England, known for its growing population, light industry, and role as a commuter hub for nearby larger cities.
  • 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_69aed93de98c8190ad838ce507b77c8a completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af02e9370481908eda048724261c2b completed March 9, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b596151b3c8190a70653747f7e3ff3 completed March 14, 2026, 5:08 p.m.
Created at: March 9, 2026, 3:45 p.m.