Triple
T12709089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hasli-Aare basin |
E303667
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Haslital
Haslital is a valley in the Bernese Oberland region of Switzerland, known for its dramatic alpine landscapes, waterfalls, and access to major mountain passes.
|
E1011654
|
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: Haslital | Statement: [Hasli-Aare basin, contains, Haslital]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haslital Context triple: [Hasli-Aare basin, contains, Haslital]
-
A.
Elbigenalp
Elbigenalp is a picturesque village in the Austrian state of Tyrol, known for its alpine scenery and traditional woodcarving craftsmanship.
-
B.
Gimmelwald
Gimmelwald is a small, traditional Swiss alpine village known for its dramatic mountain scenery and tranquil, car-free atmosphere in the Bernese Oberland.
-
C.
Karwendeltal
Karwendeltal is a scenic alpine valley in the Karwendel mountain range, known for its rugged peaks, hiking trails, and unspoiled natural landscapes.
-
D.
Arnegg
Arnegg is a village and district of the municipality of Blaustein in the Alb-Donau district of Baden-Württemberg, Germany.
-
E.
Bettlach
Bettlach is a Swiss municipality located in the canton of Solothurn.
- 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: Haslital Triple: [Hasli-Aare basin, contains, Haslital]
Generated description
Haslital is a valley in the Bernese Oberland region of Switzerland, known for its dramatic alpine landscapes, waterfalls, and access to major mountain passes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Haslital Target entity description: Haslital is a valley in the Bernese Oberland region of Switzerland, known for its dramatic alpine landscapes, waterfalls, and access to major mountain passes.
-
A.
Elbigenalp
Elbigenalp is a picturesque village in the Austrian state of Tyrol, known for its alpine scenery and traditional woodcarving craftsmanship.
-
B.
Gimmelwald
Gimmelwald is a small, traditional Swiss alpine village known for its dramatic mountain scenery and tranquil, car-free atmosphere in the Bernese Oberland.
-
C.
Karwendeltal
Karwendeltal is a scenic alpine valley in the Karwendel mountain range, known for its rugged peaks, hiking trails, and unspoiled natural landscapes.
-
D.
Arnegg
Arnegg is a village and district of the municipality of Blaustein in the Alb-Donau district of Baden-Württemberg, Germany.
-
E.
Bettlach
Bettlach is a Swiss municipality located in the canton of Solothurn.
- 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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96207b2d881908314efc3e350aa78 |
completed | April 10, 2026, 8:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af47b3d48190923e731c3733428a |
completed | May 3, 2026, 2:13 a.m. |
| NEDg | Description generation | batch_69f6b0653ef88190ad0e3a48675ecdcc |
completed | May 3, 2026, 2:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6b1a539148190be7a4f16f738ca90 |
completed | May 3, 2026, 2:23 a.m. |
Created at: April 9, 2026, 5:23 p.m.