Triple
T20439913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Feldkirch |
E501355
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Altenstadt
Altenstadt is a district of the Austrian city of Feldkirch in the state of Vorarlberg.
|
E1439369
|
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: Altenstadt | Statement: [Feldkirch, hasSubdivision, Altenstadt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Altenstadt Context triple: [Feldkirch, hasSubdivision, Altenstadt]
-
A.
Altenstadt
Altenstadt is a small Bavarian municipality in southern Germany, situated within the rural district of Weilheim-Schongau.
-
B.
Altenkunstadt
Altenkunstadt is a market town in Upper Franconia, Bavaria, Germany, situated on the river Main and known for its historic center and regional textile and shoe industries.
-
C.
Altenau
Altenau is a small town in Germany’s Harz Mountains, historically known as a mining and spa resort surrounded by dense forests and mountain landscapes.
-
D.
Weinstadt
Weinstadt is a town in the German state of Baden-Württemberg, known for its winegrowing tradition in the Rems Valley near Stuttgart.
-
E.
Altenburg
Altenburg is a historic town in eastern Thuringia, Germany, known for its playing-card tradition and as the birthplace of the card game Skat.
- 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: Altenstadt Triple: [Feldkirch, hasSubdivision, Altenstadt]
Generated description
Altenstadt is a district of the Austrian city of Feldkirch in the state of Vorarlberg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Altenstadt Target entity description: Altenstadt is a district of the Austrian city of Feldkirch in the state of Vorarlberg.
-
A.
Altenstadt
Altenstadt is a small Bavarian municipality in southern Germany, situated within the rural district of Weilheim-Schongau.
-
B.
Altenkunstadt
Altenkunstadt is a market town in Upper Franconia, Bavaria, Germany, situated on the river Main and known for its historic center and regional textile and shoe industries.
-
C.
Altenau
Altenau is a small town in Germany’s Harz Mountains, historically known as a mining and spa resort surrounded by dense forests and mountain landscapes.
-
D.
Weinstadt
Weinstadt is a town in the German state of Baden-Württemberg, known for its winegrowing tradition in the Rems Valley near Stuttgart.
-
E.
Altenburg
Altenburg is a historic town in eastern Thuringia, Germany, known for its playing-card tradition and as the birthplace of the card game Skat.
- 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_69e0b4ab3cfc8190ac9bf32e932316b1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e685f20fe08190b9370b523a20153d |
completed | April 20, 2026, 8 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08b3d65a30819087ca51eb0df9e414 |
completed | May 16, 2026, 6:13 p.m. |
| NEDg | Description generation | batch_6a08b49702108190810c8e4f5a89ec36 |
completed | May 16, 2026, 6:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08b524b95c8190909c93d471e9397f |
completed | May 16, 2026, 6:19 p.m. |
Created at: April 16, 2026, 11:31 a.m.