Triple
T13414317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lütschine |
E313169
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Schwarze Lütschine
Schwarze Lütschine is a mountain river in the Bernese Oberland region of Switzerland, known for flowing through the Lauterbrunnen Valley before joining the Weisse Lütschine.
|
E1039330
|
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: Schwarze Lütschine | Statement: [Lütschine, hasPart, Schwarze Lütschine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schwarze Lütschine Context triple: [Lütschine, hasPart, Schwarze Lütschine]
-
A.
Schwarze Elster
Schwarze Elster is a river in eastern Germany that flows through Saxony, Brandenburg, and Saxony-Anhalt before joining the Elbe.
-
B.
Die Rothosen
Die Rothosen is the traditional German football club Hamburger SV’s nickname, referring to the team’s iconic red shorts and kit colors.
-
C.
Schlawe
Schlawe is a historic town in Pomerania, formerly in Prussia and now known as Sławno in northwestern Poland.
-
D.
Blumenstück
Blumenstück is a lyrical piano piece in D-flat major, Op. 19, by Robert Schumann, noted for its delicate, song-like character.
-
E.
Waidmannslust
Waidmannslust is a residential locality in the Reinickendorf borough of Berlin, Germany, known for its green spaces and suburban character.
- 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: Schwarze Lütschine Triple: [Lütschine, hasPart, Schwarze Lütschine]
Generated description
Schwarze Lütschine is a mountain river in the Bernese Oberland region of Switzerland, known for flowing through the Lauterbrunnen Valley before joining the Weisse Lütschine.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Schwarze Lütschine Target entity description: Schwarze Lütschine is a mountain river in the Bernese Oberland region of Switzerland, known for flowing through the Lauterbrunnen Valley before joining the Weisse Lütschine.
-
A.
Schwarze Elster
Schwarze Elster is a river in eastern Germany that flows through Saxony, Brandenburg, and Saxony-Anhalt before joining the Elbe.
-
B.
Die Rothosen
Die Rothosen is the traditional German football club Hamburger SV’s nickname, referring to the team’s iconic red shorts and kit colors.
-
C.
Schlawe
Schlawe is a historic town in Pomerania, formerly in Prussia and now known as Sławno in northwestern Poland.
-
D.
Blumenstück
Blumenstück is a lyrical piano piece in D-flat major, Op. 19, by Robert Schumann, noted for its delicate, song-like character.
-
E.
Waidmannslust
Waidmannslust is a residential locality in the Reinickendorf borough of Berlin, Germany, known for its green spaces and suburban character.
- 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_69d806ad0c44819088833ae1ec9e9690 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaeb556948190af008c88e5bbf051 |
completed | April 12, 2026, 2:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7308095548190afb659b84f2775f2 |
completed | May 3, 2026, 11:24 a.m. |
| NEDg | Description generation | batch_69f73242a368819080ceda37583c0d7c |
completed | May 3, 2026, 11:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f732b3ba748190b2a430300e798ed8 |
completed | May 3, 2026, 11:34 a.m. |
Created at: April 9, 2026, 9:39 p.m.