Triple
T7783362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thur River |
E187178
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object |
Thur (German)
Thur (German) is the German name of the Thur River, a watercourse flowing through northeastern Switzerland.
|
E693445
|
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: Thur (German) | Statement: [Thur River, hasNameInLanguage, Thur (German)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thur (German) Context triple: [Thur River, hasNameInLanguage, Thur (German)]
-
A.
Schier (German)
Schier is the German name for the Chiers, a river in Western Europe that flows through Belgium, Luxembourg, and France.
-
B.
Roth (German)
Roth (German) is a German-language surname and place name that commonly refers to various towns in Germany and to people of German origin bearing the name Roth.
-
C.
Deutch
Deutch is a surname most notably associated with John M. Deutch, an American chemist, academic, and former Director of Central Intelligence.
-
D.
Gothenburger
A Gothenburger is a resident or native of Gothenburg, Sweden’s second-largest city and a major port on the country’s west coast.
-
E.
Frankfurter
Frankfurter is a Jewish Ashkenazi toponymic surname originally denoting a person from the city of Frankfurt in Germany.
- 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: Thur (German) Triple: [Thur River, hasNameInLanguage, Thur (German)]
Generated description
Thur (German) is the German name of the Thur River, a watercourse flowing through northeastern Switzerland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thur (German) Target entity description: Thur (German) is the German name of the Thur River, a watercourse flowing through northeastern Switzerland.
-
A.
Schier (German)
Schier is the German name for the Chiers, a river in Western Europe that flows through Belgium, Luxembourg, and France.
-
B.
Roth (German)
Roth (German) is a German-language surname and place name that commonly refers to various towns in Germany and to people of German origin bearing the name Roth.
-
C.
Deutch
Deutch is a surname most notably associated with John M. Deutch, an American chemist, academic, and former Director of Central Intelligence.
-
D.
Gothenburger
A Gothenburger is a resident or native of Gothenburg, Sweden’s second-largest city and a major port on the country’s west coast.
-
E.
Frankfurter
Frankfurter is a Jewish Ashkenazi toponymic surname originally denoting a person from the city of Frankfurt in Germany.
- 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_69ca82af2d2c8190963861f5e0b8bf21 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cadf1f9c648190ac2b06d0d54035ea |
completed | March 30, 2026, 8:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69caf5e400d881909d6cdeb7eaac3a59 |
completed | March 30, 2026, 10:15 p.m. |
| NEDg | Description generation | batch_69caf81ebde881909bd131da8987b449 |
completed | March 30, 2026, 10:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cafa013f348190a2067dee4a0c8c40 |
completed | March 30, 2026, 10:32 p.m. |
Created at: March 30, 2026, 4:22 p.m.