Triple
T15049519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canossa Column |
E379318
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Bad Harzburg |
E78294
|
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: Bad Harzburg | Statement: [Canossa Column, locatedIn, Bad Harzburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bad Harzburg Context triple: [Canossa Column, locatedIn, Bad Harzburg]
-
A.
Bad Harzburg
chosen
Bad Harzburg is a German spa and resort town on the northern edge of the Harz Mountains, known for its thermal baths, hiking trails, and historic castle ruins.
-
B.
Bad Rotenfels
Bad Rotenfels is a spa district of the town of Gaggenau in the Baden-Württemberg region of southwestern Germany, known for its thermal baths and scenic setting in the Murg Valley.
-
C.
Bad Mergentheim
Bad Mergentheim is a historic spa town in the German state of Baden-Württemberg, renowned for its mineral springs and picturesque setting in the Tauber Valley.
-
D.
Bad Rothenfelde
Bad Rothenfelde is a spa town in Lower Saxony, Germany, known for its saline springs and health resort facilities.
-
E.
Bad Marienberg
Bad Marienberg is a small spa town in the Westerwald region of Rhineland-Palatinate, Germany, known for its health resorts and surrounding low-mountain landscape.
- 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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69deda8f71988190b4fe7f7de4ccb798 |
completed | April 15, 2026, 12:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69febfd954548190b3f7c60d95403f3e |
completed | May 9, 2026, 5:02 a.m. |
Created at: April 10, 2026, 3 a.m.