Triple
T16471413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murgtal |
E400070
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Weisenbach |
E705619
|
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: Weisenbach | Statement: [Murgtal, contains, Weisenbach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weisenbach Context triple: [Murgtal, contains, Weisenbach]
-
A.
Wielenbach
Wielenbach is a small municipality in the Upper Bavarian region of Germany, situated within the district of Weilheim-Schongau.
-
B.
Luterbach
Luterbach is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Aare River.
-
C.
Wahnbach
Wahnbach is a small river in North Rhine-Westphalia, Germany, known for feeding the Wahnbach Dam and serving as a tributary of the Sieg.
-
D.
Gaisbach
chosen
Gaisbach is a village and district of the town of Oberkirch in the state of Baden-Württemberg in southwestern Germany.
-
E.
Weisselberg
Weisselberg is a surname most prominently associated with Allen Weisselberg, the longtime chief financial officer of the Trump Organization.
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32dd19df881909e4562a5e8473338 |
completed | April 18, 2026, 7:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006ed25bcc819090ccca4705e4e24f |
completed | May 10, 2026, 11:41 a.m. |
Created at: April 10, 2026, 5:11 a.m.