Triple
T4971618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gstaad |
E111663
|
entity |
| Predicate | hasNearbyResort |
P3449
|
FINISHED |
| Object |
Rougemont
Rougemont is a picturesque Swiss alpine village in the canton of Vaud, known for its traditional chalets, mountain scenery, and proximity to the upscale resort area of Gstaad.
|
E483744
|
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: Rougemont | Statement: [Gstaad, hasNearbyResort, Rougemont]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rougemont Context triple: [Gstaad, hasNearbyResort, Rougemont]
-
A.
Lambermont
Lambermont is the official residence of the Prime Minister of Belgium, located in Brussels.
-
B.
Muret
Muret is a commune in southwestern France, near Toulouse, known for its historical Battle of Muret in 1213 and its role within the Haute-Garonne department of the Occitanie region.
-
C.
Nottwil
Nottwil is a Swiss municipality in the canton of Lucerne, known for its lakeside location and the Swiss Paraplegic Centre.
-
D.
Mauguio
Mauguio is a commune in southern France near Montpellier, known for its proximity to the Mediterranean coast and its role as a local economic and transport hub.
-
E.
Markbronn
Markbronn is a village in the German state of Baden-Württemberg that forms part of the municipality of Blaustein near Ulm.
- 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: Rougemont Triple: [Gstaad, hasNearbyResort, Rougemont]
Generated description
Rougemont is a picturesque Swiss alpine village in the canton of Vaud, known for its traditional chalets, mountain scenery, and proximity to the upscale resort area of Gstaad.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rougemont Target entity description: Rougemont is a picturesque Swiss alpine village in the canton of Vaud, known for its traditional chalets, mountain scenery, and proximity to the upscale resort area of Gstaad.
-
A.
Lambermont
Lambermont is the official residence of the Prime Minister of Belgium, located in Brussels.
-
B.
Muret
Muret is a commune in southwestern France, near Toulouse, known for its historical Battle of Muret in 1213 and its role within the Haute-Garonne department of the Occitanie region.
-
C.
Nottwil
Nottwil is a Swiss municipality in the canton of Lucerne, known for its lakeside location and the Swiss Paraplegic Centre.
-
D.
Mauguio
Mauguio is a commune in southern France near Montpellier, known for its proximity to the Mediterranean coast and its role as a local economic and transport hub.
-
E.
Markbronn
Markbronn is a village in the German state of Baden-Württemberg that forms part of the municipality of Blaustein near Ulm.
- 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_69bd441a0eb481908050fa4273b19eae |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd7214e18c81909db1c838a4cce78d |
completed | March 20, 2026, 4:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be81fa9108819089a6258e3a88f0cb |
completed | March 21, 2026, 11:33 a.m. |
| NEDg | Description generation | batch_69be8386d2fc8190a450b42dd5ac6963 |
completed | March 21, 2026, 11:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be841d148881908aa53953bd2eb024 |
completed | March 21, 2026, 11:42 a.m. |
Created at: March 20, 2026, 1:33 p.m.