Triple
T18560035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donaueschingen |
E453611
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
Donauquelle
Donauquelle is the spring in Donaueschingen, Germany traditionally regarded as the source of the Danube River.
|
E1336111
|
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: Donauquelle | Statement: [Donaueschingen, hasLandmark, Donauquelle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Donauquelle Context triple: [Donaueschingen, hasLandmark, Donauquelle]
-
A.
Alte Donau
Alte Donau is a former branch of the Danube River in Vienna that now serves as a popular recreational lake for swimming, boating, and waterside leisure.
-
B.
Dyje
The Dyje is a major river in Central Europe that flows through the Czech Republic and Austria, forming part of their border and contributing significantly to the Morava River basin.
-
C.
Traisen
Traisen is a river in northeastern Austria that flows through Lower Austria before joining the Danube.
-
D.
Körös
Körös is a river in Central Europe that flows through eastern Hungary and parts of Romania before joining the Tisza River.
-
E.
Tisza
The Tisza is one of Central Europe's significant rivers, flowing through several countries including Hungary before joining the Danube.
- 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: Donauquelle Triple: [Donaueschingen, hasLandmark, Donauquelle]
Generated description
Donauquelle is the spring in Donaueschingen, Germany traditionally regarded as the source of the Danube River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Donauquelle Target entity description: Donauquelle is the spring in Donaueschingen, Germany traditionally regarded as the source of the Danube River.
-
A.
Alte Donau
Alte Donau is a former branch of the Danube River in Vienna that now serves as a popular recreational lake for swimming, boating, and waterside leisure.
-
B.
Dyje
The Dyje is a major river in Central Europe that flows through the Czech Republic and Austria, forming part of their border and contributing significantly to the Morava River basin.
-
C.
Traisen
Traisen is a river in northeastern Austria that flows through Lower Austria before joining the Danube.
-
D.
Körös
Körös is a river in Central Europe that flows through eastern Hungary and parts of Romania before joining the Tisza River.
-
E.
Tisza
The Tisza is one of Central Europe's significant rivers, flowing through several countries including Hungary before joining the Danube.
- 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_69d8d388b0c881908e610a1c45b52640 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e538098a148190b0fc7098ce3c62fd |
completed | April 19, 2026, 8:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05170b769c8190947e6208a974b642 |
completed | May 14, 2026, 12:27 a.m. |
| NEDg | Description generation | batch_6a05185f550081909a284d833f992da4 |
completed | May 14, 2026, 12:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05190b081481909af7b7aec70d9646 |
completed | May 14, 2026, 12:36 a.m. |
Created at: April 10, 2026, 11:42 a.m.