Triple
T10690400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murtensee |
E251994
|
entity |
| Predicate | hasInflow |
P967
|
FINISHED |
| Object |
Mentscha
Mentscha is a small river or stream that serves as one of the tributaries feeding into Lake Murten in Switzerland.
|
E879255
|
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: Mentscha | Statement: [Murtensee, hasInflow, Mentscha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mentscha Context triple: [Murtensee, hasInflow, Mentscha]
-
A.
Mannum
Mannum is a historic riverside town in South Australia's Murraylands region, known for its paddle-steamer heritage and role in early river trade along the Murray River.
-
B.
Menges
Menges is a surname most notably associated with British cinematographer and film director Chris Menges.
-
C.
Menczel
Menczel is a variant spelling of the surname Menzel, which is of German origin and borne by various notable individuals.
-
D.
Memleben
Memleben is a historic village in Saxony-Anhalt, Germany, notable as a royal palace site of the Ottonian dynasty and the place where Emperor Otto I died.
-
E.
Makatsch
Makatsch is the surname of German actress and television presenter Heike Makatsch, known for her roles in films such as "Love Actually" and "Resident Evil."
- 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: Mentscha Triple: [Murtensee, hasInflow, Mentscha]
Generated description
Mentscha is a small river or stream that serves as one of the tributaries feeding into Lake Murten in Switzerland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mentscha Target entity description: Mentscha is a small river or stream that serves as one of the tributaries feeding into Lake Murten in Switzerland.
-
A.
Mannum
Mannum is a historic riverside town in South Australia's Murraylands region, known for its paddle-steamer heritage and role in early river trade along the Murray River.
-
B.
Menges
Menges is a surname most notably associated with British cinematographer and film director Chris Menges.
-
C.
Menczel
Menczel is a variant spelling of the surname Menzel, which is of German origin and borne by various notable individuals.
-
D.
Memleben
Memleben is a historic village in Saxony-Anhalt, Germany, notable as a royal palace site of the Ottonian dynasty and the place where Emperor Otto I died.
-
E.
Makatsch
Makatsch is the surname of German actress and television presenter Heike Makatsch, known for her roles in films such as "Love Actually" and "Resident Evil."
- 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_69d6aa5bd7c08190a816e733b4045c23 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fd1c0f0081908a6869ee756ec789 |
completed | April 9, 2026, 1:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d988a59d6c8190a0e170acfb3af6da |
completed | April 10, 2026, 11:32 p.m. |
| NEDg | Description generation | batch_69d98aeb82988190a17b009c74279423 |
completed | April 10, 2026, 11:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d98c2aae048190b348e5614ff23f03 |
completed | April 10, 2026, 11:47 p.m. |
Created at: April 8, 2026, 9:11 p.m.