Triple

T16984033
Position Surface form Disambiguated ID Type / Status
Subject Stade de la Mosson E412015 entity
Predicate namedAfter P63 FINISHED
Object River Mosson NE NERFINISHED

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 Mosson | Statement: [Stade de la Mosson, namedAfter, River Mosson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: River Mosson
Context triple: [Stade de la Mosson, namedAfter, River Mosson]
  • A. River Mosson chosen
    River Mosson is a small river in southern France that flows through the Montpellier area and lends its name to the nearby Stade de la Mosson football stadium.
  • B. River Misbourne
    The River Misbourne is a chalk stream in the Chiltern Hills of Buckinghamshire, England, flowing through towns such as Great Missenden and Amersham before joining the River Colne.
  • C. River Multeen
    River Multeen is a small river in Ireland that serves as one of the tributaries feeding into the larger River Suir system.
  • D. River Brun
    River Brun is a small river in Lancashire, England, that flows through the town of Burnley and contributes to its local landscape and waterways.
  • E. River Kinder
    The River Kinder is a small moorland river in the Peak District of England, known for its dramatic Kinder Downfall waterfall and rugged upland scenery.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d886ca8f348190812768ea8d5055ce completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d18a0bf881908c449f499eb86495 completed April 18, 2026, 6:46 p.m.
Created at: April 10, 2026, 5:32 a.m.