Triple
T21511730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | arrondissement of Guebwiller |
E530739
|
entity |
| Predicate | containsAdministrativeTerritorialEntity |
P747
|
FINISHED |
| Object |
Heiteren
Heiteren is a small commune in the Haut-Rhin department of the Grand Est region in northeastern France.
|
E1487768
|
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: Heiteren | Statement: [arrondissement of Guebwiller, containsAdministrativeTerritorialEntity, Heiteren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heiteren Context triple: [arrondissement of Guebwiller, containsAdministrativeTerritorialEntity, Heiteren]
-
A.
Lachen
Lachen is a small town in the North Sikkim district of India, known as a gateway to high Himalayan regions and nearby scenic river valleys.
-
B.
Lachen
Lachen is a small district or locality within the Bavarian municipality of Dießen am Ammersee in Germany.
-
C.
Höttges
Höttges is a German surname most prominently associated with Timotheus Höttges, the CEO of Deutsche Telekom.
-
D.
Leissigen
Leissigen is a Swiss village in the canton of Bern, known for its scenic location in the Bernese Oberland on the shores of Lake Thun.
-
E.
Tägerwilen
Tägerwilen is a municipality in the canton of Thurgau in northeastern Switzerland, located near Lake Constance and the German border.
- 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: Heiteren Triple: [arrondissement of Guebwiller, containsAdministrativeTerritorialEntity, Heiteren]
Generated description
Heiteren is a small commune in the Haut-Rhin department of the Grand Est region in northeastern France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Heiteren Target entity description: Heiteren is a small commune in the Haut-Rhin department of the Grand Est region in northeastern France.
-
A.
Lachen
Lachen is a small town in the North Sikkim district of India, known as a gateway to high Himalayan regions and nearby scenic river valleys.
-
B.
Lachen
Lachen is a small district or locality within the Bavarian municipality of Dießen am Ammersee in Germany.
-
C.
Höttges
Höttges is a German surname most prominently associated with Timotheus Höttges, the CEO of Deutsche Telekom.
-
D.
Leissigen
Leissigen is a Swiss village in the canton of Bern, known for its scenic location in the Bernese Oberland on the shores of Lake Thun.
-
E.
Tägerwilen
Tägerwilen is a municipality in the canton of Thurgau in northeastern Switzerland, located near Lake Constance and the German border.
- 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_69e0c45c81f08190a6b8bbb70a45aae7 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea863b18819080e3ff249b10ec28 |
completed | April 23, 2026, 9:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09e145ac5c8190a05cc2a80d28cac3 |
completed | May 17, 2026, 3:39 p.m. |
| NEDg | Description generation | batch_6a09e1fc4f7881909e198768cdb43747 |
completed | May 17, 2026, 3:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09e2c86858819092216c12d8aa3348 |
completed | May 17, 2026, 3:46 p.m. |
Created at: April 16, 2026, 6:25 p.m.