Triple

T1703685
Position Surface form Disambiguated ID Type / Status
Subject Watling Street E36821 entity
Predicate passesThrough P225 FINISHED
Object St Albans E44851 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: St Albans | Statement: [Watling Street, passesThrough, St Albans]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: St Albans
Context triple: [Watling Street, passesThrough, St Albans]
  • A. St Albans, Hertfordshire chosen
    St Albans, Hertfordshire is a historic cathedral city in southern England, known for its Roman heritage and medieval architecture.
  • B. Abingdon
    Abingdon is a historic market town in Oxfordshire, England, often claimed to be one of the oldest continuously inhabited towns in the country.
  • C. Hertford
    Hertford is a historic market town and the county town of Hertfordshire in southern England.
  • D. Jedburgh
    Jedburgh is a historic town in the Scottish Borders, known for its medieval abbey, ruined castle jail, and role as a former royal burgh near the English border.
  • E. Berkhamsted
    Berkhamsted is a historic market town in Hertfordshire, England, known for its medieval castle remains and role as a commuter hub northwest of London.
  • 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_69a88617439c819094ffb5d16a0f6307 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa62f25bac8190977d6f3bd79363cb completed March 6, 2026, 5:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8acf74848190a18e41988647edcd completed March 8, 2026, 2:42 p.m.
Created at: March 4, 2026, 7:30 p.m.