Triple
T20341424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Langnau im Emmental |
E495748
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
Langnau
Langnau is a municipality in the Emmental region of the canton of Bern in Switzerland, known for its rural landscape and traditional Swiss character.
|
E1425503
|
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: Langnau | Statement: [Langnau im Emmental, shortName, Langnau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Langnau Context triple: [Langnau im Emmental, shortName, Langnau]
-
A.
Lochau
Lochau is a locality in Germany historically noted as the place where the influential Reformation-era prince Frederick the Wise died.
-
B.
Langenrain
Langenrain is a village and district of the municipality of Allensbach in the state of Baden-Württemberg in southern Germany.
-
C.
Lengenfeld
Lengenfeld is a small town in the Free State of Saxony in eastern Germany, known as the birthplace of biblical scholar Constantin von Tischendorf.
-
D.
Landensberg
Landensberg is a small municipality in the Bavarian region of southern Germany.
-
E.
Haslach
Haslach is a district of the town of Herrenberg in the German state of Baden-Württemberg.
- 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: Langnau Triple: [Langnau im Emmental, shortName, Langnau]
Generated description
Langnau is a municipality in the Emmental region of the canton of Bern in Switzerland, known for its rural landscape and traditional Swiss character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Langnau Target entity description: Langnau is a municipality in the Emmental region of the canton of Bern in Switzerland, known for its rural landscape and traditional Swiss character.
-
A.
Lochau
Lochau is a locality in Germany historically noted as the place where the influential Reformation-era prince Frederick the Wise died.
-
B.
Langenrain
Langenrain is a village and district of the municipality of Allensbach in the state of Baden-Württemberg in southern Germany.
-
C.
Lengenfeld
Lengenfeld is a small town in the Free State of Saxony in eastern Germany, known as the birthplace of biblical scholar Constantin von Tischendorf.
-
D.
Landensberg
Landensberg is a small municipality in the Bavarian region of southern Germany.
-
E.
Haslach
Haslach is a district or locality that forms part of the town of Oberkirch in the German state of Baden-Württemberg.
- 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_69e0b4a3320881909495ae8bc30bc2dc |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67835f6e881908834dda06cf66c50 |
completed | April 20, 2026, 7:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08695d2fb8819093c983801fa553b9 |
completed | May 16, 2026, 12:55 p.m. |
| NEDg | Description generation | batch_6a0869e378fc8190a82d1e01006cf19a |
completed | May 16, 2026, 12:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a086a6812a08190b4594fa9b6054355 |
completed | May 16, 2026, 1 p.m. |
Created at: April 16, 2026, 11:23 a.m.