Triple
T12709098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hasli-Aare basin |
E303667
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Handeck
Handeck is a small settlement and scenic alpine area in the Bernese Oberland region of Switzerland, known for its dramatic gorge, waterfalls, and proximity to the Grimsel Pass.
|
E998676
|
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: Handeck | Statement: [Hasli-Aare basin, contains, Handeck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Handeck Context triple: [Hasli-Aare basin, contains, Handeck]
-
A.
Schwerteck
Schwerteck is a mountain peak in the Glockner Group of the Austrian Alps.
-
B.
Hachen
Hachen is a district (Ortsteil) of the town of Sundern in the Hochsauerland region of North Rhine-Westphalia, Germany.
-
C.
Hohne
Hohne is a village in Lower Saxony, Germany, historically notable for its military garrison and association with British Army units.
-
D.
Haldenstein
Haldenstein is a small Swiss village in the canton of Graubünden, known in architecture circles as the longtime base of renowned architect Peter Zumthor.
-
E.
Hainichen
Hainichen is a small town in the Free State of Saxony in eastern Germany, known for its historical architecture and location between the cities of Chemnitz and Dresden.
- 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: Handeck Triple: [Hasli-Aare basin, contains, Handeck]
Generated description
Handeck is a small settlement and scenic alpine area in the Bernese Oberland region of Switzerland, known for its dramatic gorge, waterfalls, and proximity to the Grimsel Pass.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Handeck Target entity description: Handeck is a small settlement and scenic alpine area in the Bernese Oberland region of Switzerland, known for its dramatic gorge, waterfalls, and proximity to the Grimsel Pass.
-
A.
Schwerteck
Schwerteck is a mountain peak in the Glockner Group of the Austrian Alps.
-
B.
Hachen
Hachen is a district (Ortsteil) of the town of Sundern in the Hochsauerland region of North Rhine-Westphalia, Germany.
-
C.
Hohne
Hohne is a village in Lower Saxony, Germany, historically notable for its military garrison and association with British Army units.
-
D.
Haldenstein
Haldenstein is a small Swiss village in the canton of Graubünden, known in architecture circles as the longtime base of renowned architect Peter Zumthor.
-
E.
Hainichen
Hainichen is a small town in the Free State of Saxony in eastern Germany, known for its historical architecture and location between the cities of Chemnitz and Dresden.
- 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_69f671b648f48190a29924c484713fc7 |
completed | May 2, 2026, 9:50 p.m. |
| NEDg | Description generation | batch_69f6738fb13881909be53b9bd9960944 |
completed | May 2, 2026, 9:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f677cabbb48190b5a097af0237595c |
completed | May 2, 2026, 10:16 p.m. |
Created at: April 9, 2026, 5:23 p.m.