Triple

T1331806
Position Surface form Disambiguated ID Type / Status
Subject A12 road E28658 entity
Predicate passesThrough P225 FINISHED
Object Colchester E41723 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: Colchester | Statement: [A12 road, passesThrough, Colchester]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Colchester
Context triple: [A12 road, passesThrough, Colchester]
  • A. Colchester chosen
    Colchester is a historic town in Essex, England, often cited as Britain’s oldest recorded town and known for its Roman heritage and medieval landmarks.
  • B. Norwich
    Norwich is a historic cathedral city in Norfolk, England, known for its medieval architecture and role as a regional cultural and economic center.
  • C. 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.
  • D. Hertford
    Hertford is a historic market town and the county town of Hertfordshire in southern England.
  • E. Northampton
    Northampton is a historic market town and the county town of Northamptonshire in the East Midlands of England.
  • 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_69a498561a508190a3e1bc137c2b866a completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c1c5f86c819098e98b046968954a completed March 1, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad1594f94c8190bb6d3dc40534382e completed March 8, 2026, 6:22 a.m.
Created at: March 1, 2026, 7:55 p.m.