Triple
T9440784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Augsburg district |
E227639
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object |
Mindel
The Mindel is a river in Bavaria, Germany, that flows through the Swabian region and ultimately drains into the Danube.
|
E798931
|
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: Mindel | Statement: [Augsburg district, hasRiver, Mindel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mindel Context triple: [Augsburg district, hasRiver, Mindel]
-
A.
Mindel
Mindel is a surname most notably associated with Dan Mindel, a prominent cinematographer known for his work on major Hollywood films.
-
B.
Mindelheim
Mindelheim is a historic town in Bavaria, Germany, known for its well-preserved medieval old town and former status as a princely seat.
-
C.
Baltus
Baltus is a fictional character best known as the wealthy farmer and father of Katrina Van Tassel in Washington Irving’s short story “The Legend of Sleepy Hollow.”
-
D.
Vianen
Vianen is a historic Dutch town known for its medieval city center and location near major rivers in the western Netherlands.
-
E.
Magdelon
Magdelon is one of the two naive, pretentious young women satirized for their affected manners and romantic fantasies in Molière’s comedy *Les Précieuses ridicules*.
- 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: Mindel Triple: [Augsburg district, hasRiver, Mindel]
Generated description
The Mindel is a river in Bavaria, Germany, that flows through the Swabian region and ultimately drains into the Danube.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mindel Target entity description: The Mindel is a river in Bavaria, Germany, that flows through the Swabian region and ultimately drains into the Danube.
-
A.
Mindel
Mindel is a surname most notably associated with Dan Mindel, a prominent cinematographer known for his work on major Hollywood films.
-
B.
Mindelheim
Mindelheim is a historic town in Bavaria, Germany, known for its well-preserved medieval old town and former status as a princely seat.
-
C.
Baltus
Baltus is a fictional character best known as the wealthy farmer and father of Katrina Van Tassel in Washington Irving’s short story “The Legend of Sleepy Hollow.”
-
D.
Vianen
Vianen is a historic Dutch town known for its medieval city center and location near major rivers in the western Netherlands.
-
E.
Magdelon
Magdelon is one of the two naive, pretentious young women satirized for their affected manners and romantic fantasies in Molière’s comedy *Les Précieuses ridicules*.
- 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.