Triple
T20644474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Esslingen district |
E507315
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Neidlingen
Neidlingen is a small municipality in the German state of Baden-Württemberg, situated on the edge of the Swabian Jura.
|
E1458497
|
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: Neidlingen | Statement: [Esslingen district, contains, Neidlingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neidlingen Context triple: [Esslingen district, contains, Neidlingen]
-
A.
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.
-
B.
Gündlingen
Gündlingen is a village and district of the town Breisach am Rhein in the state of Baden-Württemberg in southwestern Germany.
-
C.
Steißlingen
Steißlingen is a municipality in the district of Konstanz in the state of Baden-Württemberg in southern Germany.
-
D.
Neckartenzlingen
Neckartenzlingen is a small town in the German state of Baden-Württemberg, situated along the Neckar River and known for its scenic surroundings and local industry.
-
E.
Aidlingen
Aidlingen is a small municipality in the German state of Baden-Württemberg, located southwest of Stuttgart amid the scenic landscapes of the Böblingen 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: Neidlingen Triple: [Esslingen district, contains, Neidlingen]
Generated description
Neidlingen is a small municipality in the German state of Baden-Württemberg, situated on the edge of the Swabian Jura.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Neidlingen Target entity description: Neidlingen is a small municipality in the German state of Baden-Württemberg, situated on the edge of the Swabian Jura.
-
A.
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.
-
B.
Gündlingen
Gündlingen is a village and district of the town Breisach am Rhein in the state of Baden-Württemberg in southwestern Germany.
-
C.
Steißlingen
Steißlingen is a municipality in the district of Konstanz in the state of Baden-Württemberg in southern Germany.
-
D.
Neckartenzlingen
Neckartenzlingen is a small town in the German state of Baden-Württemberg, situated along the Neckar River and known for its scenic surroundings and local industry.
-
E.
Aidlingen
Aidlingen is a small municipality in the German state of Baden-Württemberg, located southwest of Stuttgart amid the scenic landscapes of the Böblingen 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_69e0b4be702c8190a3d2410a881d310a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6af1d0be481909e090193dcfd9cf6 |
completed | April 20, 2026, 10:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a091fb00b74819089e37959e7341857 |
completed | May 17, 2026, 1:53 a.m. |
| NEDg | Description generation | batch_6a0923a1712081909d331e720e24a04d |
completed | May 17, 2026, 2:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09241b5fe88190ae5a431ff1c22e1b |
completed | May 17, 2026, 2:12 a.m. |
Created at: April 16, 2026, 11:43 a.m.