Triple

T9587527
Position Surface form Disambiguated ID Type / Status
Subject Sopwell Nunnery ruins E231328 entity
Predicate locatedNear P294 FINISHED
Object River Ver E212053 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: River Ver | Statement: [Sopwell Nunnery ruins, locatedNear, River Ver]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: River Ver
Context triple: [Sopwell Nunnery ruins, locatedNear, River Ver]
  • A. River Ver chosen
    The River Ver is a small chalk stream in Hertfordshire, England, flowing through St Albans before joining the River Colne.
  • B. River Wid
    The River Wid is a small river in Essex, England, that flows through rural landscapes before joining the River Crouch.
  • C. IVER
    IVER is a village and civil parish in Buckinghamshire, England, known for its proximity to London and the Pinewood Studios film complex.
  • D. River Nar
    The River Nar is a small river in Norfolk, England, that flows through the countryside to join the River Great Ouse near King’s Lynn.
  • E. River Ver valley
    The River Ver valley is a rural river valley in Hertfordshire, England, known for its chalk stream landscapes, historic villages, and agricultural surroundings.
  • 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_69ca848161688190a68d514a0a9d5129 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd99f01ca08190afaa44645a58e918 completed April 1, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1618251c48190886190975dfde5ac completed April 4, 2026, 7:07 p.m.
Created at: March 30, 2026, 8:06 p.m.