Triple
T19312964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ilm |
E483016
|
entity |
| Predicate | hasValley |
P650
|
FINISHED |
| Object |
Ilmtal
Ilmtal is the valley region formed by the Ilm River, known for its scenic landscapes and small towns in central Germany.
|
E1371741
|
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: Ilmtal | Statement: [Ilm, hasValley, Ilmtal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ilmtal Context triple: [Ilm, hasValley, Ilmtal]
-
A.
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.
-
B.
Valsertal
Valsertal is a scenic alpine valley in the Swiss canton of Graubünden, known for its mountainous landscapes and the village of Vals.
-
C.
Klostertal
Klostertal is a scenic alpine valley in the Austrian state of Vorarlberg, known for its mountain landscapes, ski areas, and access to the Arlberg region.
-
D.
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.
-
E.
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.
- 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: Ilmtal Triple: [Ilm, hasValley, Ilmtal]
Generated description
Ilmtal is the valley region formed by the Ilm River, known for its scenic landscapes and small towns in central Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ilmtal Target entity description: Ilmtal is the valley region formed by the Ilm River, known for its scenic landscapes and small towns in central Germany.
-
A.
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.
-
B.
Valsertal
Valsertal is a scenic alpine valley in the Swiss canton of Graubünden, known for its mountainous landscapes and the village of Vals.
-
C.
Klostertal
Klostertal is a scenic alpine valley in the Austrian state of Vorarlberg, known for its mountain landscapes, ski areas, and access to the Arlberg region.
-
D.
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.
-
E.
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.
- 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_69d8e8d04d5c8190baa816986f2b1d1e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e604cf25c081908a30814b15d78c25 |
completed | April 20, 2026, 10:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0723ffd7f88190af7973d00abaa188 |
completed | May 15, 2026, 1:47 p.m. |
| NEDg | Description generation | batch_6a0725d467cc8190b42352c1b591bc6f |
completed | May 15, 2026, 1:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0726f886d48190bca4b40b17e6c46b |
completed | May 15, 2026, 2 p.m. |
Created at: April 10, 2026, 1:32 p.m.