Triple

T3370176
Position Surface form Disambiguated ID Type / Status
Subject Vianen E70934 entity
Predicate locatedNear P294 FINISHED
Object River Lek E356286 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 Lek | Statement: [Vianen, locatedNear, River Lek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: River Lek
Context triple: [Vianen, locatedNear, River Lek]
  • A. River Lek chosen
    River Lek is a major distributary branch of the Rhine in the central Netherlands, flowing through the provinces of Utrecht and South Holland and playing an important role in regional shipping and water management.
  • B. River Leen
    The River Leen is a small river in Nottinghamshire, England, that flows through the city of Nottingham before joining the River Trent.
  • C. River Len
    The River Len is a small river in Kent, England, known for flowing through the town of Maidstone and contributing to the River Medway system.
  • D. River Lyvennet
    River Lyvennet is a small river in Cumbria, England, flowing through the Eden Valley’s rural landscapes before joining the River Eden.
  • 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_69ad85a729d48190afd789cd8417f289 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb2b9b1fc8190a2cbf040ea808baf completed March 8, 2026, 5:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b367ee84408190b167673d6f7ba6b0 completed March 13, 2026, 1:27 a.m.
Created at: March 8, 2026, 3:13 p.m.