Triple
T15299375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M2 (Lausanne Metro) |
E365743
|
entity |
| Predicate | terminus |
P388
|
FINISHED |
| Object | Croisettes |
E1149170
|
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: Croisettes | Statement: [M2 (Lausanne Metro), terminus, Croisettes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Croisettes Context triple: [M2 (Lausanne Metro), terminus, Croisettes]
-
A.
Croisettes
chosen
Croisettes is a metro station in Lausanne, Switzerland, serving as the northeastern terminus of the city’s M2 metro line.
-
B.
Fagerolles
Fagerolles is a fictional painter in Émile Zola’s novel "L’Œuvre," representing a commercially successful but artistically compromised contrast to the more idealistic artist Mahoudeau.
-
C.
Préverenges
Préverenges is a Swiss municipality on the shores of Lake Geneva in the canton of Vaud, known for its lakeside setting and residential character.
-
D.
Les Chosalets
Les Chosalets is a small family-friendly ski area near Chamonix in the French Alps, known for its gentle slopes and beginner terrain.
-
E.
Gréolières
Gréolières is a small mountain village in southeastern France, known for its scenic setting in the Alpes-Maritimes and proximity to outdoor activities like hiking and skiing.
- 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_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_69fef89bb46481908f27fa98eb6ac5c3 |
completed | May 9, 2026, 9:04 a.m. |
Created at: April 10, 2026, 3:15 a.m.