Triple

T13245363
Position Surface form Disambiguated ID Type / Status
Subject Lembeek E315387 entity
Predicate locatedOnRiver P165 FINISHED
Object Senne River E1152629 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: Senne River | Statement: [Lembeek, locatedOnRiver, Senne River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Senne River
Context triple: [Lembeek, locatedOnRiver, Senne River]
  • A. Senne River chosen
    The Senne River is a small Belgian waterway that flows through Brussels and has historically shaped the city’s development and sanitation challenges.
  • B. Ausa River
    The Ausa River is a small watercourse in the Emilia-Romagna region of Italy that flows through the city of Rimini before reaching the Adriatic Sea.
  • C. Saane River
    The Saane River is a Swiss river that flows through the canton of Fribourg and joins the Aare, contributing significantly to the region’s landscape and hydrology.
  • D. Bille River
    The Bille River is a small river in northern Germany that flows through Hamburg, including the Bergedorf district, before joining the Elbe.
  • E. Noi River
    The Noi River is a significant waterway in central Thailand that branches from and later rejoins the Chao Phraya River, supporting local agriculture and settlements along its course.
  • 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_69d806b1072881909e46bd212259c5f0 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d5b06148190a44e698bbe5cd529 completed April 10, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01953c493c819084850ab8e7f0d261 completed May 11, 2026, 8:37 a.m.
Created at: April 9, 2026, 9:23 p.m.