Triple
T13230683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murten |
E315007
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object |
Courgevaux
Courgevaux is a small municipality in the canton of Fribourg in western Switzerland, situated near the town of Murten.
|
E1074471
|
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: Courgevaux | Statement: [Murten, hasNeighboringMunicipality, Courgevaux]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Courgevaux Context triple: [Murten, hasNeighboringMunicipality, Courgevaux]
-
A.
Sury-en-Vaux
Sury-en-Vaux is a small rural commune in the Cher department of central France, known for its vineyards and traditional countryside setting.
-
B.
Gouvieux
Gouvieux is a commune in northern France known for hosting the French residence of Aga Khan IV, Shah Karim al-Husayni.
-
C.
Bessancourt
Bessancourt is a small suburban commune in the Val-d'Oise department in the Île-de-France region of northern France, forming part of the northwestern outskirts of Paris.
-
D.
Givry
Givry is a Burgundy wine appellation in eastern France, noted for its predominantly Pinot Noir red wines with a reputation for good value and quality.
-
E.
Saintois
A Saintois is a resident or native of the coastal commune of Saintes-Maries-de-la-Mer in southern France.
- 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: Courgevaux Triple: [Murten, hasNeighboringMunicipality, Courgevaux]
Generated description
Courgevaux is a small municipality in the canton of Fribourg in western Switzerland, situated near the town of Murten.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Courgevaux Target entity description: Courgevaux is a small municipality in the canton of Fribourg in western Switzerland, situated near the town of Murten.
-
A.
Sury-en-Vaux
Sury-en-Vaux is a small rural commune in the Cher department of central France, known for its vineyards and traditional countryside setting.
-
B.
Gouvieux
Gouvieux is a commune in northern France known for hosting the French residence of Aga Khan IV, Shah Karim al-Husayni.
-
C.
Bessancourt
Bessancourt is a small suburban commune in the Val-d'Oise department in the Île-de-France region of northern France, forming part of the northwestern outskirts of Paris.
-
D.
Givry
Givry is a Burgundy wine appellation in eastern France, noted for its predominantly Pinot Noir red wines with a reputation for good value and quality.
-
E.
Saintois
A Saintois is a resident or native of the coastal commune of Saintes-Maries-de-la-Mer in southern France.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d336ae08190bfc118cfbefddf84 |
completed | April 10, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbac754aec8190a5b975c9965eef61 |
completed | May 6, 2026, 9:02 p.m. |
| NEDg | Description generation | batch_69fbb16aa3dc819096407243383d7578 |
completed | May 6, 2026, 9:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fbb1ebe7048190b62c56b43002f94c |
completed | May 6, 2026, 9:26 p.m. |
Created at: April 9, 2026, 9:21 p.m.