Triple

T3761576
Position Surface form Disambiguated ID Type / Status
Subject Ludlow E82172 entity
Predicate crossedBy P416 FINISHED
Object River Teme E52044 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 Teme | Statement: [Ludlow, crossedBy, River Teme]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: River Teme
Context triple: [Ludlow, crossedBy, River Teme]
  • A. River Teme chosen
    River Teme is a major river in Wales and western England known for its scenic rural course and role as a significant tributary of the River Severn.
  • B. River Thame
    River Thame is a tributary of the River Thames in southern England, flowing through Buckinghamshire and Oxfordshire before joining the Thames near Dorchester-on-Thames.
  • C. River Sowe
    The River Sowe is a tributary of the River Avon in the West Midlands of England, flowing through Warwickshire and the Coventry area.
  • D. River Taw
    River Taw is a river in Devon, England, that flows through towns including Barnstaple before reaching the Bristol Channel.
  • E. Lez River
    The Lez River is a short coastal river in southern France that flows through the city of Montpellier before emptying into the Mediterranean Sea.
  • 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_69ad8b1db40081908b61ffa6b78afd4d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcbc553a08190ba361675901496ed completed March 8, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51c6b2a488190a621cc223c673615 completed March 14, 2026, 8:29 a.m.
Created at: March 8, 2026, 3:35 p.m.