Triple
T17618042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cathedral of St Peter |
E429136
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Worms |
—
|
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: Worms | Statement: [Cathedral of St Peter, locatedIn, Worms]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Worms Context triple: [Cathedral of St Peter, locatedIn, 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 (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_69d889e1c6148190ba76241e74688f8b |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46d33a2b081908deecee773c333af |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 5:51 a.m.