Triple
T11885851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Innviertel |
E282778
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Altheim
Altheim is a small town in the Innviertel region of Upper Austria, known for its rural character and local thermal spa facilities.
|
E960078
|
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: Altheim | Statement: [Innviertel, contains, Altheim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Altheim Context triple: [Innviertel, contains, Altheim]
-
A.
Baltschieder
Baltschieder is a small Swiss municipality in the canton of Valais, located in the Upper Valais region of the Alps.
-
B.
Altenberg
Altenberg is an Austrian town best known as the longtime home and place of death of Nobel Prize–winning ethologist Konrad Lorenz.
-
C.
Hohenwart
Hohenwart is a small municipality in Bavaria, Germany, known for its rural character and location within the Upper Bavarian region.
-
D.
Marchfeld
Marchfeld is a fertile lowland region in eastern Austria known for its intensive agriculture and vegetable production.
-
E.
Altenberge
Altenberge is a small municipality in North Rhine-Westphalia, Germany, known for its rural character and proximity to the city of Münster.
- 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: Altheim Triple: [Innviertel, contains, Altheim]
Generated description
Altheim is a small town in the Innviertel region of Upper Austria, known for its rural character and local thermal spa facilities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Altheim Target entity description: Altheim is a small town in the Innviertel region of Upper Austria, known for its rural character and local thermal spa facilities.
-
A.
Baltschieder
Baltschieder is a small Swiss municipality in the canton of Valais, located in the Upper Valais region of the Alps.
-
B.
Altenberg
Altenberg is an Austrian town best known as the longtime home and place of death of Nobel Prize–winning ethologist Konrad Lorenz.
-
C.
Hohenwart
Hohenwart is a small municipality in Bavaria, Germany, known for its rural character and location within the Upper Bavarian region.
-
D.
Marchfeld
Marchfeld is a fertile lowland region in eastern Austria known for its intensive agriculture and vegetable production.
-
E.
Altenberge
Altenberge is a small municipality in North Rhine-Westphalia, Germany, known for its rural character and proximity to the city of Münster.
- 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_69d6ab2a90b08190a4e818821cc93e6d |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8d3a13370819086386fecb99e4f0b |
completed | April 10, 2026, 10:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f48a4d0e908190b6465b1094373e2c |
completed | May 1, 2026, 11:11 a.m. |
| NEDg | Description generation | batch_69f48fc3baac8190af87b55164f00b26 |
completed | May 1, 2026, 11:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f495ab52788190a886f7014267f8e2 |
completed | May 1, 2026, 11:59 a.m. |
Created at: April 8, 2026, 9:44 p.m.