Triple
T20602194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Imperial Abbey of Werden |
E506211
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Werden |
—
|
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: Werden | Statement: [Imperial Abbey of Werden, locatedIn, Werden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Werden Context triple: [Imperial Abbey of Werden, locatedIn, Werden]
-
A.
Werden
chosen
Werden is a historic district of the German city of Essen, known for its old town charm and the former Benedictine abbey that now houses the Folkwang University of the Arts.
-
B.
Worden
Worden is the surname of Alfred M. Worden, the American astronaut who served as the command module pilot for NASA's Apollo 15 mission.
-
C.
Werdet
Werdet was a 19th-century French publisher known for issuing works by prominent authors such as Honoré de Balzac.
-
D.
Welver
Welver is a municipality in the German state of North Rhine-Westphalia, situated in the Soest district within the historic region of Westphalia.
-
E.
Gweru
Gweru is a central Zimbabwean city that serves as the capital of the Midlands Province and an important commercial and transportation hub.
- 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_69e0b4ba6ae88190af871e1f9522c704 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6aa20f5c881909265ce7d96efc487 |
completed | April 20, 2026, 10:35 p.m. |
Created at: April 16, 2026, 11:41 a.m.