Triple
T21305304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mur River |
E525180
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object |
Liesing (Mur)
Liesing (Mur) is a small river in Styria, Austria, that flows through the Graz area before joining the Mur River.
|
E1477236
|
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: Liesing (Mur) | Statement: [Mur River, hasTributary, Liesing (Mur)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liesing (Mur) Context triple: [Mur River, hasTributary, Liesing (Mur)]
-
A.
Leuzigen
Leuzigen is a small Swiss municipality in the canton of Bern, known for its rural character and location near the Aare River.
-
B.
Leißling
Leißling is a small municipality in the Weißenfels area of Saxony-Anhalt, Germany, known for its local industry and residential character.
-
C.
Inzlingen
Inzlingen is a small municipality in the district of Lörrach in the state of Baden-Württemberg in southwestern Germany, near the Swiss border.
-
D.
Lichtensteig
Lichtensteig is a small historic town in the canton of St. Gallen in northeastern Switzerland, known for its well-preserved old town and picturesque setting in the Toggenburg region.
-
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: Liesing (Mur) Triple: [Mur River, hasTributary, Liesing (Mur)]
Generated description
Liesing (Mur) is a small river in Styria, Austria, that flows through the Graz area before joining the Mur River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Liesing (Mur) Target entity description: Liesing (Mur) is a small river in Styria, Austria, that flows through the Graz area before joining the Mur River.
-
A.
Leuzigen
Leuzigen is a small Swiss municipality in the canton of Bern, known for its rural character and location near the Aare River.
-
B.
Leißling
Leißling is a small municipality in the Weißenfels area of Saxony-Anhalt, Germany, known for its local industry and residential character.
-
C.
Inzlingen
Inzlingen is a small municipality in the district of Lörrach in the state of Baden-Württemberg in southwestern Germany, near the Swiss border.
-
D.
Lichtensteig
Lichtensteig is a small historic town in the canton of St. Gallen in northeastern Switzerland, known for its well-preserved old town and picturesque setting in the Toggenburg region.
-
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_69e0b518b8948190ad69cf9a8784d397 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e75aa3f90481909b212bdbf00c2bb0 |
completed | April 21, 2026, 11:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a099ed32130819081479d9845d74ac3 |
completed | May 17, 2026, 10:56 a.m. |
| NEDg | Description generation | batch_6a099f69f1e08190bf96197fcf42b897 |
completed | May 17, 2026, 10:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a099feeda3481909d8020763f32d430 |
completed | May 17, 2026, 11:01 a.m. |
Created at: April 16, 2026, 4:05 p.m.