Triple
T10690396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murtensee |
E251994
|
entity |
| Predicate | hasFrenchName |
P744
|
FINISHED |
| Object | Lac de Morat |
E108809
|
NE FINISHED |
How this triple was built (2 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: Lac de Morat | Statement: [Murtensee, hasFrenchName, Lac de Morat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lac de Morat Context triple: [Murtensee, hasFrenchName, Lac de Morat]
-
A.
Lake Joux
Lake Joux is a large high-altitude lake in the Vallée de Joux of the Jura Mountains in western Switzerland, known for its scenic landscapes and popularity for ice skating in winter.
-
B.
Lake Murten
chosen
Lake Murten is a small glacial lake in western Switzerland, known for its scenic shores, mild climate, and location between the Jura Mountains and the Alps.
-
C.
Lake Mergozzo
Lake Mergozzo is a small, clean alpine lake in northern Italy, near Lake Maggiore, known for its clear waters and tranquil natural setting.
-
D.
Lac de Gaube
Lac de Gaube is a scenic glacial lake in the French Pyrenees, renowned for its turquoise waters and dramatic mountain surroundings near the Vignemale massif.
-
E.
Lake Sempach
Lake Sempach is a small lake in central Switzerland, known for its scenic surroundings, birdlife, and recreational activities such as swimming and boating.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d998cfeb748190bfff06534d83cf97 |
completed | April 11, 2026, 12:41 a.m. |
Created at: April 8, 2026, 9:11 p.m.