Triple
T9440814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Augsburg district |
E227639
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Hiltenfingen
Hiltenfingen is a small municipality in the Swabian region of Bavaria in southern Germany.
|
E798940
|
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: Hiltenfingen | Statement: [Augsburg district, contains, Hiltenfingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hiltenfingen Context triple: [Augsburg district, contains, Hiltenfingen]
-
A.
Friedlingen
Friedlingen is a district of the German town Weil am Rhein, located in the far southwest of Baden-Württemberg near the borders with France and Switzerland.
-
B.
Dörflingen
Dörflingen is a small municipality in the canton of Schaffhausen in northern Switzerland, situated near the German border along the Rhine.
-
C.
Eigeltingen
Eigeltingen is a rural municipality in the state of Baden-Württemberg in southern Germany, known for its scenic location near Lake Constance and the Hegau volcanic landscape.
-
D.
Hilzingen
Hilzingen is a municipality in the state of Baden-Württemberg in southwestern Germany, near the Swiss border.
-
E.
Eggenfelden
Eggenfelden is a town in southeastern Germany known as a local commercial and cultural center within the region of Lower Bavaria.
- 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: Hiltenfingen Triple: [Augsburg district, contains, Hiltenfingen]
Generated description
Hiltenfingen is a small municipality in the Swabian region of Bavaria in southern Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hiltenfingen Target entity description: Hiltenfingen is a small municipality in the Swabian region of Bavaria in southern Germany.
-
A.
Friedlingen
Friedlingen is a district of the German town Weil am Rhein, located in the far southwest of Baden-Württemberg near the borders with France and Switzerland.
-
B.
Dörflingen
Dörflingen is a small municipality in the canton of Schaffhausen in northern Switzerland, situated near the German border along the Rhine.
-
C.
Eigeltingen
Eigeltingen is a rural municipality in the state of Baden-Württemberg in southern Germany, known for its scenic location near Lake Constance and the Hegau volcanic landscape.
-
D.
Hilzingen
Hilzingen is a municipality in the state of Baden-Württemberg in southwestern Germany, near the Swiss border.
-
E.
Eggenfelden
Eggenfelden is a town in southeastern Germany known as a local commercial and cultural center within the region of Lower Bavaria.
- 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_69ca843884488190ad6cbe0153088234 |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7ee4f4a08190ada5ee14fec2b822 |
completed | April 1, 2026, 8:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1105dc6b48190bd6c7d932d9f48d5 |
completed | April 4, 2026, 1:21 p.m. |
| NEDg | Description generation | batch_69d1112e140c8190ad6d9b3a25d48af7 |
completed | April 4, 2026, 1:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d111b6c1d881909eb555a6a524c6db |
completed | April 4, 2026, 1:27 p.m. |
Created at: March 30, 2026, 7:50 p.m.