Triple

T4199560
Position Surface form Disambiguated ID Type / Status
Subject Barrage Vauban E86033 entity
Predicate crosses P416 FINISHED
Object River Ill E163387 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 Ill | Statement: [Barrage Vauban, crosses, River Ill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: River Ill
Context triple: [Barrage Vauban, crosses, River Ill]
  • A. River Ill chosen
    The River Ill is a major waterway in northeastern France that flows through the city of Strasbourg before joining the Rhine.
  • B. River Seph
    River Seph is a small river flowing through the North York Moors in North Yorkshire, England, contributing to the region’s rural landscape and drainage system.
  • C. River Granta
    The River Granta is a tributary watercourse in Cambridgeshire, England, that forms part of the upper reaches of the River Cam and flows through rural villages before joining the main river near Cambridge.
  • D. Đáy River
    Đáy River is a significant river in northern Vietnam that flows through several provinces and districts, serving as an important waterway and agricultural resource.
  • E. 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.
  • 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_69aed93b89f48190a31f6d57c760e42f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af036243b4819097efe6b796823cd9 completed March 9, 2026, 5:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b76abd848190819c7625a3b42c2f completed March 14, 2026, 7:30 p.m.
Created at: March 9, 2026, 3:49 p.m.