Triple

T1703680
Position Surface form Disambiguated ID Type / Status
Subject Watling Street E36821 entity
Predicate terminus P388 FINISHED
Object Wroxeter E104523 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: Wroxeter | Statement: [Watling Street, terminus, Wroxeter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wroxeter
Context triple: [Watling Street, terminus, Wroxeter]
  • A. Wroxeter Roman City chosen
    Wroxeter Roman City is one of the largest and best-preserved Roman urban sites in Britain, featuring extensive archaeological remains of the ancient city of Viroconium.
  • B. Cassington
    Cassington is a small rural village in Oxfordshire, England, known for its historic church and traditional English countryside setting.
  • C. Veria
    Veria is a historic city in northern Greece known for its ancient Macedonian heritage and early Christian significance.
  • D. Rugeley
    Rugeley is a market town in Staffordshire, England, historically known for its coal mining industry and location on the River Trent.
  • E. Bridgnorth
    Bridgnorth is a historic market town in Shropshire, England, known for its dramatic position on the River Severn and its high and low town layout linked by a funicular railway.
  • 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.