Triple

T19736568
Position Surface form Disambiguated ID Type / Status
Subject Mossemarka E473998 entity
Predicate near P350 FINISHED
Object town of Moss 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: town of Moss | Statement: [Mossemarka, near, town of Moss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: town of Moss
Context triple: [Mossemarka, near, town of Moss]
  • A. town of Moss chosen
    The town of Moss is a coastal municipality in southeastern Norway known for its industrial heritage, ferry connections across the Oslofjord, and proximity to scenic islands like Jeløya.
  • B. City of Mossyrock
    The City of Mossyrock is a small incorporated community in Lewis County, Washington, known for its rural setting near Riffe Lake and the Cowlitz River.
  • C. Moss town center
    Moss town center is the main commercial and administrative hub of the coastal city of Moss in southeastern Norway.
  • D. Moss city centre
    Moss city centre is the main commercial and administrative hub of the coastal town of Moss in southeastern Norway.
  • E. Combs Moss
    Combs Moss is a gritstone moorland plateau in the Peak District of Derbyshire, England, known for its open heather moor, walking routes, and expansive views over the surrounding countryside.
  • 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_69d8e517ebd48190979ee76723bcfadf completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6515ddea881909ea831b7bc16d934 completed April 20, 2026, 4:16 p.m.
Created at: April 10, 2026, 1:47 p.m.