Triple
T8695946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wolfurt |
E206402
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Unterdorf
Unterdorf is a locality that forms one of the subdivisions of the Austrian municipality of Wolfurt in the state of Vorarlberg.
|
E750743
|
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: Unterdorf | Statement: [Wolfurt, hasSubdivision, Unterdorf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Unterdorf Context triple: [Wolfurt, hasSubdivision, Unterdorf]
-
A.
Hägendorf
Hägendorf is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Jura mountains.
-
B.
Wintersdorf
Wintersdorf is a village and district of the town of Rastatt in the state of Baden-Württemberg in southwestern Germany.
-
C.
Adendorf
Adendorf is a village-sized district within the municipality of Wachtberg in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
-
D.
Gerolzhofen
Gerolzhofen is a small historic town in northern Bavaria, Germany, known for its medieval architecture and wine-growing surroundings.
-
E.
Donzdorf
Donzdorf is a small town in the German state of Baden-Württemberg, situated in the foothills of the Swabian Alb and known for its scenic surroundings and local industry.
- 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: Unterdorf Triple: [Wolfurt, hasSubdivision, Unterdorf]
Generated description
Unterdorf is a locality that forms one of the subdivisions of the Austrian municipality of Wolfurt in the state of Vorarlberg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Unterdorf Target entity description: Unterdorf is a locality that forms one of the subdivisions of the Austrian municipality of Wolfurt in the state of Vorarlberg.
-
A.
Hägendorf
Hägendorf is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Jura mountains.
-
B.
Wintersdorf
Wintersdorf is a village and district of the town of Rastatt in the state of Baden-Württemberg in southwestern Germany.
-
C.
Adendorf
Adendorf is a village-sized district within the municipality of Wachtberg in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
-
D.
Gerolzhofen
Gerolzhofen is a small historic town in northern Bavaria, Germany, known for its medieval architecture and wine-growing surroundings.
-
E.
Donzdorf
Donzdorf is a small town in the German state of Baden-Württemberg, situated in the foothills of the Swabian Alb and known for its scenic surroundings and local industry.
- 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_69ca83555b6c8190abe930dd397e863b |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc582996a0819097ad03097ad1f103 |
completed | March 31, 2026, 11:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cef3fc5a788190a765942fc0b964c9 |
completed | April 2, 2026, 10:55 p.m. |
| NEDg | Description generation | batch_69cef52200788190a8173da1aaa4f681 |
completed | April 2, 2026, 11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cef6c109b08190bb29ce2747f3ccb7 |
completed | April 2, 2026, 11:07 p.m. |
Created at: March 30, 2026, 6:34 p.m.