Triple
T20305368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vöcklabruck District |
E505595
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Tiefgraben
Tiefgraben is a municipality in the Austrian state of Upper Austria, known for its scenic lakeside setting near Mondsee.
|
E1423023
|
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: Tiefgraben | Statement: [Vöcklabruck District, containsSettlement, Tiefgraben]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tiefgraben Context triple: [Vöcklabruck District, containsSettlement, Tiefgraben]
-
A.
Malita Graben
Malita Graben is a structural depression and hydrocarbon-bearing sub-basin within the offshore Bonaparte Basin of northern Australia.
-
B.
Graben
Graben is a famous and historic pedestrian street in the center of Vienna, Austria, known for its upscale shops, cafes, and notable Baroque monuments.
-
C.
Graben
Graben is a municipality in the Augsburg district of Bavaria, Germany, known for its location in the Swabian region near the city of Augsburg.
-
D.
Graben
Graben is a small municipality in the Oberaargau region of the canton of Bern in Switzerland.
-
E.
Seegräben
Seegräben is a small municipality in the canton of Zurich in Switzerland, known for its rural character and scenic lakeside setting on the Pfäffikersee.
- 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: Tiefgraben Triple: [Vöcklabruck District, containsSettlement, Tiefgraben]
Generated description
Tiefgraben is a municipality in the Austrian state of Upper Austria, known for its scenic lakeside setting near Mondsee.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tiefgraben Target entity description: Tiefgraben is a municipality in the Austrian state of Upper Austria, known for its scenic lakeside setting near Mondsee.
-
A.
Malita Graben
Malita Graben is a structural depression and hydrocarbon-bearing sub-basin within the offshore Bonaparte Basin of northern Australia.
-
B.
Graben
Graben is a famous and historic pedestrian street in the center of Vienna, Austria, known for its upscale shops, cafes, and notable Baroque monuments.
-
C.
Graben
Graben is a municipality in the Augsburg district of Bavaria, Germany, known for its location in the Swabian region near the city of Augsburg.
-
D.
Graben
Graben is a small municipality in the Oberaargau region of the canton of Bern in Switzerland.
-
E.
Seegräben
Seegräben is a small municipality in the canton of Zurich in Switzerland, known for its rural character and scenic lakeside setting on the Pfäffikersee.
- 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_69e0b4b8ab648190906e18538c250148 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6773f8f688190b616f972b9bbb28e |
completed | April 20, 2026, 6:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08611c2f248190bf7c69536022ee8a |
completed | May 16, 2026, 12:20 p.m. |
| NEDg | Description generation | batch_6a0862421d9c8190bcc0c2c6dc1e9936 |
completed | May 16, 2026, 12:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08632b4618819085a4cc20aa297c70 |
completed | May 16, 2026, 12:29 p.m. |
Created at: April 16, 2026, 11:18 a.m.