Triple

T407332
Position Surface form Disambiguated ID Type / Status
Subject Leineschloss E9410 entity
Predicate namedAfter P63 FINISHED
Object River Leine E61548 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 Leine | Statement: [Leineschloss, namedAfter, River Leine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: River Leine
Context triple: [Leineschloss, namedAfter, River Leine]
  • A. River Leine chosen
    The River Leine is a major river in central Germany that flows through the city of Hanover and several federal states before joining the Aller.
  • B. River Teme
    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.
  • C. River Trent
    The River Trent is one of the principal rivers in the Midlands of England, flowing through cities such as Stoke-on-Trent and Nottingham before joining the Humber Estuary.
  • D. Severn
    The Severn is the longest river in Great Britain, flowing through Wales and England before emptying into the Bristol Channel.
  • E. River Avon
    The River Avon is a major river in southwest England that flows through the city of Bath and eventually joins the River Severn.
  • 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_69a2e80111fc8190961d5b7c6154123f completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2ecbd766c8190bb8a91605929156a completed Feb. 28, 2026, 1:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69a481e969f481908cc6732b4c6aaad6 completed March 1, 2026, 6:14 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.