Triple
T16886378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Igersheim |
E421550
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Simmringen
Simmringen is a small village that forms one of the local subdivisions of the municipality of Igersheim in the Main-Tauber district of Baden-Württemberg, Germany.
|
E1238558
|
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: Simmringen | Statement: [Igersheim, hasSubdivision, Simmringen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Simmringen Context triple: [Igersheim, hasSubdivision, Simmringen]
-
A.
Rollingergrund
Rollingergrund is a district of Luxembourg City known for its residential character and proximity to central neighborhoods like Limpertsberg.
-
B.
Gundremmingen
Gundremmingen is a small Bavarian municipality best known for hosting one of Germany’s major nuclear power plants.
-
C.
Hilpoltstein
Hilpoltstein is a historic town in Bavaria, Germany, known for its medieval castle ruins and picturesque old town.
-
D.
Hermannstein
Hermannstein is a district of the German city of Wetzlar in the state of Hesse.
-
E.
Rinklingen
Rinklingen is a district or locality within the town of Bretten in the state of Baden-Württemberg, 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: Simmringen Triple: [Igersheim, hasSubdivision, Simmringen]
Generated description
Simmringen is a small village that forms one of the local subdivisions of the municipality of Igersheim in the Main-Tauber district of Baden-Württemberg, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Simmringen Target entity description: Simmringen is a small village that forms one of the local subdivisions of the municipality of Igersheim in the Main-Tauber district of Baden-Württemberg, Germany.
-
A.
Rollingergrund
Rollingergrund is a district of Luxembourg City known for its residential character and proximity to central neighborhoods like Limpertsberg.
-
B.
Gundremmingen
Gundremmingen is a small Bavarian municipality best known for hosting one of Germany’s major nuclear power plants.
-
C.
Hilpoltstein
Hilpoltstein is a historic town in Bavaria, Germany, known for its medieval castle ruins and picturesque old town.
-
D.
Hermannstein
Hermannstein is a district of the German city of Wetzlar in the state of Hesse.
-
E.
Rinklingen
Rinklingen is a district or locality within the town of Bretten in the state of Baden-Württemberg, 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3bbc126e881909dae8133ad34acc9 |
completed | April 18, 2026, 5:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c2bcf290819098be9def471e02b8 |
completed | May 10, 2026, 5:39 p.m. |
| NEDg | Description generation | batch_6a00c3c25e9481908327bb6646212368 |
completed | May 10, 2026, 5:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00c44e37b48190a62b315ddbbd4ec4 |
completed | May 10, 2026, 5:45 p.m. |
Created at: April 10, 2026, 5:29 a.m.