Triple

T13544046
Position Surface form Disambiguated ID Type / Status
Subject Lopik E323465 entity
Predicate locatedOn P40 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: [Lopik, locatedOn, river Lek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: river Lek
Context triple: [Lopik, locatedOn, 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 Leri
    River Leri is a small river in Ceredigion, Wales, that flows from the Pumlumon massif to the Cardigan Bay coast near Borth.
  • C. Lasne River
    The Lasne River is a small watercourse in central Belgium that flows through the Walloon Brabant region before joining the Dyle River.
  • D. Lom River
    The Lom River is a waterway in central Cameroon that contributes to the Sanaga River system and supports surrounding ecosystems and local communities.
  • E. Leko River
    The Leko River is a waterway in South Sumatra, Indonesia, that forms part of the Musi River basin and contributes to the region’s extensive river network.
  • 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafda36248190acabde65a88c5471 completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75da094288190aff108b006c3da1f completed May 3, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:45 p.m.