Triple

T8858899
Position Surface form Disambiguated ID Type / Status
Subject River Farset E210833 entity
Predicate partOf P40 FINISHED
Object Lagan river system E25228 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: Lagan river system | Statement: [River Farset, partOf, Lagan river system]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lagan river system
Context triple: [River Farset, partOf, Lagan river system]
  • A. River Lagan chosen
    River Lagan is a major river in Northern Ireland that flows through Belfast and has played a central role in the city's industrial and urban development.
  • B. Lagan
    Lagan is one of the major rivers in southwestern Sweden, flowing through the province of Halland before reaching the Kattegat.
  • C. River Bann
    The River Bann is one of Northern Ireland's longest and most significant rivers, flowing through several counties and playing a key role in the region's geography and economy.
  • D. River Bann
    The River Bann is a waterway in County Wexford in southeastern Ireland, known for flowing through a largely rural landscape before reaching the Irish Sea.
  • E. Lagan Valley
    Lagan Valley is a scenic region in Northern Ireland known for its river landscapes, walking and cycling trails, and a mix of rural countryside and urban settlements.
  • 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_69ca838bbddc8190ab546d737e5d350f completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60e536648190ba8da1375478c24f completed April 1, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba0d0c208190923e68e9c64efad6 completed April 3, 2026, 1:01 p.m.
Created at: March 30, 2026, 6:50 p.m.