Triple

T10472011
Position Surface form Disambiguated ID Type / Status
Subject Iceni E246944 entity
Predicate attackedCity P63919 FINISHED
Object Londinium E194612 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: Londinium | Statement: [Iceni, attackedCity, Londinium]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Londinium
Context triple: [Iceni, attackedCity, Londinium]
  • A. Londinium chosen
    Londinium was the major Roman city and commercial hub that later evolved into modern-day London.
  • B. Camulodunum
    Camulodunum was an important ancient Roman town in Britain, serving as the first provincial capital and a major military and administrative center.
  • C. Dacorum
    Dacorum is a local government district and borough in Hertfordshire, England, encompassing towns such as Hemel Hempstead and Berkhamsted.
  • D. Verulamium
    Verulamium was a major Roman town in Britain, located near modern St Albans, known for its archaeological remains including mosaics, a theatre, and city walls.
  • E. Eboracum
    Eboracum was the major Roman fortress and city that later became the English city of York, serving as an important military and administrative center in Roman Britain.
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5190da7f081908c38b5964a567e37 completed April 7, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dc68b49481909715c36a4c0e7c4f completed April 10, 2026, 11:18 a.m.
Created at: April 6, 2026, 12:20 p.m.