Triple
T8338363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Styria |
E195845
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object |
Mürz
Mürz is a river in southeastern Austria that flows through the state of Styria and is an important tributary of the Mur River.
|
E731153
|
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: Mürz | Statement: [Styria, hasRiver, Mürz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mürz Context triple: [Styria, hasRiver, Mürz]
-
A.
Kaltenbach
Kaltenbach is a small Austrian village and ski resort town in the Zillertal Valley, known for its access to the Hochzillertal-Hochfügen ski area.
-
B.
Pitztal
Pitztal is a valley in the Austrian Tyrol known for its high alpine scenery, glacier skiing, and access to prominent peaks in the Ötztal Alps.
-
C.
Oberursel
Oberursel is a town in the German state of Hesse, near Frankfurt am Main, known for its historic old town and location on the edge of the Taunus mountains.
-
D.
Wollerau
Wollerau is an affluent municipality on the shores of Lake Zurich in the Swiss canton of Schwyz, known for its low taxes and as a residence of several wealthy individuals.
-
E.
Marchfeld
Marchfeld is a fertile lowland region in eastern Austria known for its intensive agriculture and vegetable production.
- 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: Mürz Triple: [Styria, hasRiver, Mürz]
Generated description
Mürz is a river in southeastern Austria that flows through the state of Styria and is an important tributary of the Mur River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mürz Target entity description: Mürz is a river in southeastern Austria that flows through the state of Styria and is an important tributary of the Mur River.
-
A.
Kaltenbach
Kaltenbach is a small Austrian village and ski resort town in the Zillertal Valley, known for its access to the Hochzillertal-Hochfügen ski area.
-
B.
Pitztal
Pitztal is a valley in the Austrian Tyrol known for its high alpine scenery, glacier skiing, and access to prominent peaks in the Ötztal Alps.
-
C.
Oberursel
Oberursel is a town in the German state of Hesse, near Frankfurt am Main, known for its historic old town and location on the edge of the Taunus mountains.
-
D.
Wollerau
Wollerau is an affluent municipality on the shores of Lake Zurich in the Swiss canton of Schwyz, known for its low taxes and as a residence of several wealthy individuals.
-
E.
Marchfeld
Marchfeld is a fertile lowland region in eastern Austria known for its intensive agriculture and vegetable production.
- 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_69ca82ecbdc481908a55cad8ca062d88 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7fd68e348190a7cb8639a263b50f |
completed | March 31, 2026, 8:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce028586788190b07c601e521eb531 |
completed | April 2, 2026, 5:45 a.m. |
| NEDg | Description generation | batch_69ce077d8af0819082a7ea67a2c11ddd |
completed | April 2, 2026, 6:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce082078108190867044f45bc0a806 |
completed | April 2, 2026, 6:09 a.m. |
Created at: March 30, 2026, 5:57 p.m.