Triple
T7001973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Musegg Wall |
E162356
|
entity |
| Predicate | hasNameInGerman |
P22792
|
FINISHED |
| Object | Museggmauer |
E162356
|
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: Museggmauer | Statement: [Musegg Wall, hasNameInGerman, Museggmauer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Museggmauer Context triple: [Musegg Wall, hasNameInGerman, Museggmauer]
-
A.
Mauer
Mauer is the surname of Joe Mauer, a former Major League Baseball catcher and first baseman best known for his career with the Minnesota Twins.
-
B.
Musegg Wall
chosen
Musegg Wall is a well-preserved medieval city wall in Lucerne, Switzerland, known for its historic towers and panoramic views over the city and Lake Lucerne.
-
C.
Trautenstein
Trautenstein is a village in the Harz region of Saxony-Anhalt, Germany, now incorporated into the town of Oberharz am Brocken.
-
D.
Mossenberg-Wöhren
Mossenberg-Wöhren is a small village in North Rhine-Westphalia, Germany, known primarily as the birthplace of former German chancellor Gerhard Schröder.
-
E.
Valkhof
Valkhof is a historic site in Nijmegen, Netherlands, known for its hilltop park and medieval castle ruins overlooking the River Waal.
- 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_69c68857ffc08190857dc62cd5253777 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dc1115c48190a9363473ae21b6c1 |
completed | March 27, 2026, 7:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c76a310eb08190a0fc1de2814aea08 |
completed | March 28, 2026, 5:42 a.m. |
Created at: March 27, 2026, 2:33 p.m.