Triple
T17045970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mühlacker |
E413568
|
entity |
| Predicate | hasCityDistrict |
P2709
|
FINISHED |
| Object |
Lienzingen
Lienzingen is a village and district of the town of Mühlacker in the state of Baden-Württemberg in southwestern Germany.
|
E1248316
|
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: Lienzingen | Statement: [Mühlacker, hasCityDistrict, Lienzingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lienzingen Context triple: [Mühlacker, hasCityDistrict, Lienzingen]
-
A.
Laichingen
Laichingen is a small town in the Alb-Donau district of Baden-Württemberg in southern Germany, known for its location on the Swabian Jura plateau and its historic textile industry.
-
B.
Hilzingen
Hilzingen is a municipality in the state of Baden-Württemberg in southwestern Germany, near the Swiss border.
-
C.
Lüchtringen
Lüchtringen is a village in North Rhine-Westphalia, Germany, situated on the River Weser and administratively part of the town of Höxter.
-
D.
Riedlingen
Riedlingen is a small historic town in the state of Baden-Württemberg in southern Germany, known for its well-preserved medieval old town on the Danube River.
-
E.
Gündlingen
Gündlingen is a village and district of the town Breisach am Rhein in the state of Baden-Württemberg in southwestern Germany.
- 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: Lienzingen Triple: [Mühlacker, hasCityDistrict, Lienzingen]
Generated description
Lienzingen is a village and district of the town of Mühlacker in the state of Baden-Württemberg in southwestern Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lienzingen Target entity description: Lienzingen is a village and district of the town of Mühlacker in the state of Baden-Württemberg in southwestern Germany.
-
A.
Laichingen
Laichingen is a small town in the Alb-Donau district of Baden-Württemberg in southern Germany, known for its location on the Swabian Jura plateau and its historic textile industry.
-
B.
Hilzingen
Hilzingen is a municipality in the state of Baden-Württemberg in southwestern Germany, near the Swiss border.
-
C.
Lüchtringen
Lüchtringen is a village in North Rhine-Westphalia, Germany, situated on the River Weser and administratively part of the town of Höxter.
-
D.
Riedlingen
Riedlingen is a small historic town in the state of Baden-Württemberg in southern Germany, known for its well-preserved medieval old town on the Danube River.
-
E.
Gündlingen
Gündlingen is a village and district of the town Breisach am Rhein in the state of Baden-Württemberg in southwestern Germany.
- 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_69d886cd18288190b006abab23f811b7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3da9d7e988190a5e3991c7123f9b0 |
completed | April 18, 2026, 7:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01233cd3d48190b002951881ef670b |
completed | May 11, 2026, 12:30 a.m. |
| NEDg | Description generation | batch_6a0124f158a08190a803b37378a2c253 |
completed | May 11, 2026, 12:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a012569322081908b60694851d50e4b |
completed | May 11, 2026, 12:40 a.m. |
Created at: April 10, 2026, 5:33 a.m.