Triple
T7989307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vals |
E185760
|
entity |
| Predicate | locatedInValley |
P40
|
FINISHED |
| Object |
Valsertal
Valsertal is a scenic alpine valley in the Swiss canton of Graubünden, known for its mountainous landscapes and the village of Vals.
|
E717747
|
NE FINISHED |
How this triple was built (4 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: Valsertal | Statement: [Vals, locatedInValley, Valsertal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valsertal Context triple: [Vals, locatedInValley, Valsertal]
-
A.
Schuttertal
Schuttertal is a rural municipality in southwestern Germany’s Baden-Württemberg region, situated within the Ortenaukreis district and known for its scenic valleys and Black Forest landscapes.
-
B.
Rauental
Rauental is a district of the German town of Rastatt in the state of Baden-Württemberg.
-
C.
Landwassertal
Landwassertal is a valley in the Swiss canton of Graubünden, known for its dramatic alpine landscape and the famous Landwasser Viaduct of the Rhaetian Railway.
-
D.
Sihltal
Sihltal is a Swiss valley in the canton of Zurich shaped by the Sihl River, known for its scenic landscapes and proximity to the city of Zurich.
-
E.
Elztal
Elztal is a municipality in the Neckar-Odenwald district of Baden-Württemberg, Germany, known for its rural character and location in the Elz river valley.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Valsertal Triple: [Vals, locatedInValley, Valsertal]
Generated description
Valsertal is a scenic alpine valley in the Swiss canton of Graubünden, known for its mountainous landscapes and the village of Vals.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Valsertal Target entity description: Valsertal is a scenic alpine valley in the Swiss canton of Graubünden, known for its mountainous landscapes and the village of Vals.
-
A.
Schuttertal
Schuttertal is a rural municipality in southwestern Germany’s Baden-Württemberg region, situated within the Ortenaukreis district and known for its scenic valleys and Black Forest landscapes.
-
B.
Rauental
Rauental is a district of the German town of Rastatt in the state of Baden-Württemberg.
-
C.
Landwassertal
Landwassertal is a valley in the Swiss canton of Graubünden, known for its dramatic alpine landscape and the famous Landwasser Viaduct of the Rhaetian Railway.
-
D.
Sihltal
Sihltal is a Swiss valley in the canton of Zurich shaped by the Sihl River, known for its scenic landscapes and proximity to the city of Zurich.
-
E.
Elztal
Elztal is a municipality in the Neckar-Odenwald district of Baden-Württemberg, Germany, known for its rural character and location in the Elz river valley.
- F. None of above. chosen
Provenance (5 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_69ca829a2cfc819083d591d58ec04075 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3c4f98808190879113ad4af9bb4d |
completed | March 31, 2026, 3:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccec9e21d881908963dcc38bcc2df0 |
completed | April 1, 2026, 9:59 a.m. |
| NEDg | Description generation | batch_69ccf0982f4481908e2a59424fdf470f |
completed | April 1, 2026, 10:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd051913708190a83f925cf0cbbaa1 |
completed | April 1, 2026, 11:44 a.m. |
Created at: March 30, 2026, 5:16 p.m.