Triple

T16442868
Position Surface form Disambiguated ID Type / Status
Subject Austrasia E399347 entity
Predicate capital P234 FINISHED
Object Worms E790349 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: Worms | Statement: [Austrasia, capital, Worms]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Worms
Context triple: [Austrasia, capital, Worms]
  • A. Worms chosen
    Worms is an ancient German city on the Rhine River, renowned for its Roman and medieval heritage and its role in imperial and religious history.
  • B. Worms Cathedral
    Worms Cathedral is a historic Roman Catholic cathedral in Worms, Germany, renowned as one of the finest examples of Romanesque church architecture in Europe.
  • C. 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."
  • D. 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.
  • E. Wurm
    Wurm is a small river in western Germany that flows through North Rhine-Westphalia before joining the Roer.
  • 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_69d87f2c6778819080fcfae53be8f12a completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32cd8d2988190acb5722a15623319 completed April 18, 2026, 7:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00458f8f3c8190ad5eff2ad2a32dea completed May 10, 2026, 8:45 a.m.
Created at: April 10, 2026, 5:10 a.m.