Triple
T22859685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lorze River |
E566879
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object |
Lorzentobel
Lorzentobel is a steep, narrow gorge in the Swiss canton of Zug carved by the Lorze River and known for its dramatic cliffs and scenic hiking paths.
|
E1559805
|
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: Lorzentobel | Statement: [Lorze River, flowsThrough, Lorzentobel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lorzentobel Context triple: [Lorze River, flowsThrough, Lorzentobel]
-
A.
Brigachtal
Brigachtal is a small municipality in southwestern Germany’s Baden-Württemberg region, situated near the Black Forest.
-
B.
Mattighofen
Mattighofen is a small town in Upper Austria known for being the headquarters of the motorcycle manufacturer KTM.
-
C.
Safiental
Safiental is a mountainous municipality in the Swiss canton of Graubünden, known for its remote alpine valleys, traditional Walser settlements, and unspoiled natural landscapes.
-
D.
Wyssachen
Wyssachen is a small rural municipality and village located in the Emmental region of the canton of Bern, Switzerland.
-
E.
Bettlach
Bettlach is a Swiss municipality located in the canton of Solothurn.
- 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: Lorzentobel Triple: [Lorze River, flowsThrough, Lorzentobel]
Generated description
Lorzentobel is a steep, narrow gorge in the Swiss canton of Zug carved by the Lorze River and known for its dramatic cliffs and scenic hiking paths.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lorzentobel Target entity description: Lorzentobel is a steep, narrow gorge in the Swiss canton of Zug carved by the Lorze River and known for its dramatic cliffs and scenic hiking paths.
-
A.
Brigachtal
Brigachtal is a small municipality in southwestern Germany’s Baden-Württemberg region, situated near the Black Forest.
-
B.
Mattighofen
Mattighofen is a small town in Upper Austria known for being the headquarters of the motorcycle manufacturer KTM.
-
C.
Safiental
Safiental is a mountainous municipality in the Swiss canton of Graubünden, known for its remote alpine valleys, traditional Walser settlements, and unspoiled natural landscapes.
-
D.
Wyssachen
Wyssachen is a small rural municipality and village located in the Emmental region of the canton of Bern, Switzerland.
-
E.
Bettlach
Bettlach is a Swiss municipality located in the canton of Solothurn.
- 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_69e24589083081908d5694c4fdc80086 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17ec082c08190943e6cfc2e25c5cc |
completed | April 29, 2026, 3:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bb9b3b8b48190ae2fcca24c794b0f |
completed | May 19, 2026, 1:15 a.m. |
| NEDg | Description generation | batch_6a0bbb4c32a4819086a4bfdf25476d78 |
completed | May 19, 2026, 1:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bbc1bd0808190a0a5f8f603308b45 |
completed | May 19, 2026, 1:25 a.m. |
Created at: April 17, 2026, 3:37 p.m.