Triple
T15299391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M2 (Lausanne Metro) |
E365743
|
entity |
| Predicate | servesStation |
P839
|
FINISHED |
| Object |
Délices
Délices is a metro station in Lausanne, Switzerland, located on the city’s M2 line.
|
E1149174
|
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: Délices | Statement: [M2 (Lausanne Metro), servesStation, Délices]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Délices Context triple: [M2 (Lausanne Metro), servesStation, Délices]
-
A.
Gourmandises
Gourmandises is the debut studio album by French pop singer Alizée, known for its catchy electronic pop sound and international hit singles.
-
B.
Doux
Doux is the sweetest style of Champagne, characterized by a high sugar content that gives it a rich, dessert-like taste.
-
C.
Doux
Doux is the French name of the Doux River, a watercourse in southeastern France.
-
D.
La Compôte
La Compôte is a small French village located in the alpine Massif des Bauges region of southeastern France.
-
E.
Soubise
Soubise is a historic French seigneurial domain and title, most notably linked to the noble House of Rohan and the princes who bore its name.
- 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: Délices Triple: [M2 (Lausanne Metro), servesStation, Délices]
Generated description
Délices is a metro station in Lausanne, Switzerland, located on the city’s M2 line.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Délices Target entity description: Délices is a metro station in Lausanne, Switzerland, located on the city’s M2 line.
-
A.
Gourmandises
Gourmandises is the debut studio album by French pop singer Alizée, known for its catchy electronic pop sound and international hit singles.
-
B.
Doux
Doux is the sweetest style of Champagne, characterized by a high sugar content that gives it a rich, dessert-like taste.
-
C.
Doux
Doux is the French name of the Doux River, a watercourse in southeastern France.
-
D.
La Compôte
La Compôte is a small French village located in the alpine Massif des Bauges region of southeastern France.
-
E.
Soubise
Soubise is a historic French seigneurial domain and title, most notably linked to the noble House of Rohan and the princes who bore its name.
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03686bfb8819080ba0caae652170a |
completed | April 16, 2026, 1:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef8513a08190b2d2a7dde85dd43d |
completed | May 9, 2026, 8:25 a.m. |
| NEDg | Description generation | batch_69fef23de4688190beeb59ef43891e3d |
completed | May 9, 2026, 8:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fef2d8fe04819084bb3deb6859d746 |
completed | May 9, 2026, 8:39 a.m. |
Created at: April 10, 2026, 3:15 a.m.