Triple
T17407395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lemberg (Swabian Jura) |
E423254
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Spaichingen
Spaichingen is a small town in the district of Tuttlingen in Baden-Württemberg, Germany, situated on the Prim River at the foot of the Swabian Jura.
|
E1281460
|
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: Spaichingen | Statement: [Lemberg (Swabian Jura), locatedNear, Spaichingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spaichingen Context triple: [Lemberg (Swabian Jura), locatedNear, Spaichingen]
-
A.
Wechingen
Wechingen is a small rural municipality in the Bavarian region of southern Germany.
-
B.
Hunspach
Hunspach is a picturesque village in northeastern France’s Alsace region, noted for its traditional half-timbered houses and designation as one of the “Most Beautiful Villages of France.”
-
C.
Ottmarsheim
Ottmarsheim is a commune in northeastern France’s Alsace region, known for its historic Romanesque church and location along the Rhine.
-
D.
Jettingen-Scheppach
Jettingen-Scheppach is a market town in the district of Günzburg in the Bavarian region of Swabia, Germany.
-
E.
Gechingen
Gechingen is a small municipality in the German state of Baden-Württemberg, situated in the northern Black Forest region.
- 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: Spaichingen Triple: [Lemberg (Swabian Jura), locatedNear, Spaichingen]
Generated description
Spaichingen is a small town in the district of Tuttlingen in Baden-Württemberg, Germany, situated on the Prim River at the foot of the Swabian Jura.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Spaichingen Target entity description: Spaichingen is a small town in the district of Tuttlingen in Baden-Württemberg, Germany, situated on the Prim River at the foot of the Swabian Jura.
-
A.
Wechingen
Wechingen is a small rural municipality in the Bavarian region of southern Germany.
-
B.
Hunspach
Hunspach is a picturesque village in northeastern France’s Alsace region, noted for its traditional half-timbered houses and designation as one of the “Most Beautiful Villages of France.”
-
C.
Ottmarsheim
Ottmarsheim is a commune in northeastern France’s Alsace region, known for its historic Romanesque church and location along the Rhine.
-
D.
Jettingen-Scheppach
Jettingen-Scheppach is a market town in the district of Günzburg in the Bavarian region of Swabia, Germany.
-
E.
Gechingen
Gechingen is a small municipality in the German state of Baden-Württemberg, situated in the northern Black Forest region.
- 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_69d889d7d27c819088486ce3f0627fa1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43b081ae08190b144e333a3a74b02 |
completed | April 19, 2026, 2:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02163f3c34819087f3a5d8c25a3c09 |
completed | May 11, 2026, 5:47 p.m. |
| NEDg | Description generation | batch_6a021db3ea748190a453eeb6c70852e5 |
completed | May 11, 2026, 6:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a021e1daa048190a2ccc566204b558d |
completed | May 11, 2026, 6:21 p.m. |
Created at: April 10, 2026, 5:45 a.m.