Triple
T5198298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salzach River |
E117327
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object |
Tittmoning
Tittmoning is a historic Bavarian town in southeastern Germany, near the Austrian border, known for its medieval castle and picturesque old town along the Salzach River.
|
E502073
|
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: Tittmoning | Statement: [Salzach River, flowsThrough, Tittmoning]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tittmoning Context triple: [Salzach River, flowsThrough, Tittmoning]
-
A.
Thamserku
Thamserku is a prominent Himalayan peak in eastern Nepal, known for its steep, dramatic profile and popularity among experienced mountaineers.
-
B.
Timsälven
Timsälven is a river in central Sweden that flows through the Karlskoga area in Örebro County.
-
C.
Stetind
Stetind is a distinctive, obelisk-shaped granite mountain in Nordland, Norway, often called Norway’s national mountain and renowned among climbers and photographers.
-
D.
Uttigen
Uttigen is a small municipality in the canton of Bern, Switzerland, situated along the Aare River between Bern and Thun.
-
E.
Tantolunden
Tantolunden is a large park and recreational area in Stockholm known for its allotment gardens, waterfront, and outdoor activities.
- 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: Tittmoning Triple: [Salzach River, flowsThrough, Tittmoning]
Generated description
Tittmoning is a historic Bavarian town in southeastern Germany, near the Austrian border, known for its medieval castle and picturesque old town along the Salzach River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tittmoning Target entity description: Tittmoning is a historic Bavarian town in southeastern Germany, near the Austrian border, known for its medieval castle and picturesque old town along the Salzach River.
-
A.
Thamserku
Thamserku is a prominent Himalayan peak in eastern Nepal, known for its steep, dramatic profile and popularity among experienced mountaineers.
-
B.
Timsälven
Timsälven is a river in central Sweden that flows through the Karlskoga area in Örebro County.
-
C.
Stetind
Stetind is a distinctive, obelisk-shaped granite mountain in Nordland, Norway, often called Norway’s national mountain and renowned among climbers and photographers.
-
D.
Uttigen
Uttigen is a small municipality in the canton of Bern, Switzerland, situated along the Aare River between Bern and Thun.
-
E.
Tantolunden
Tantolunden is a large park and recreational area in Stockholm known for its allotment gardens, waterfront, and outdoor activities.
- 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_69bd4462ed04819084fcb01eb9d2fa74 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7a1f154481908be5d3c9cbbef92a |
completed | March 20, 2026, 4:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bee0a115048190b7f02b5449c444d7 |
completed | March 21, 2026, 6:17 p.m. |
| NEDg | Description generation | batch_69bee67ecec08190aa3e2ae7bf1eef9b |
completed | March 21, 2026, 6:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bee6e8bbcc819094f5f04743eb4013 |
completed | March 21, 2026, 6:43 p.m. |
Created at: March 20, 2026, 1:47 p.m.