Triple

T14968771
Position Surface form Disambiguated ID Type / Status
Subject Wurm River E373260 entity
Predicate hasNameVariant P457 FINISHED
Object Wurm E676769 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: Wurm | Statement: [Wurm River, hasNameVariant, Wurm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wurm
Context triple: [Wurm River, hasNameVariant, Wurm]
  • A. Wurm chosen
    Wurm is a small river in western Germany that flows through North Rhine-Westphalia before joining the Roer.
  • B. Worm
    Worm is a charismatic, wisecracking high school basketball player and member of Coach Carter’s team in the 2005 sports drama film "Coach Carter."
  • C. Superworm
    Superworm is a popular children's picture book written by Julia Donaldson and illustrated by Axel Scheffler, featuring a heroic worm who helps other animals with his extraordinary abilities.
  • D. Wolmido
    Wolmido is a small island and popular seaside leisure destination near Incheon, South Korea, known for its waterfront park, amusement facilities, and coastal views.
  • E. Wormerland
    Wormerland is a municipality in the Dutch province of North Holland, known for its peat meadow landscapes and villages north of Amsterdam.
  • 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_69d85ccbbcd48190acb56e7cf104d8ad completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6e44cb0819096e09f8026ef8174 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe8be4b0a88190989022108a58370d completed May 9, 2026, 1:20 a.m.
Created at: April 10, 2026, 2:48 a.m.