Triple
T14288376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Plagne |
E354237
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Aime 2000 |
E483100
|
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: Aime 2000 | Statement: [La Plagne, hasPart, Aime 2000]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aime 2000 Context triple: [La Plagne, hasPart, Aime 2000]
-
A.
Aime
chosen
Aime is a small town in the French Alps known as a gateway to the Tarentaise Valley’s major ski resorts.
-
B.
Aimes
Aimes is a character appearing in the action film "Fast X" from the Fast & Furious franchise.
-
C.
Azéma
Azéma is a French surname most notably borne by architect Léon Azéma, known for his contributions to early 20th-century French public architecture.
-
D.
Éclat
Éclat is a 1965 chamber work by Pierre Boulez that explores shimmering timbres, intricate textures, and flexible time through a distinctive ensemble of piano and selected instruments.
-
E.
Ancoraimes
Ancoraimes is a town in Bolivia’s La Paz Department, serving as a local administrative and population center within the Omasuyos Province.
- 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_69d8278e17088190b328c5a9d4be74ff |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de698023288190b1d705235c2b2ca3 |
completed | April 14, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d1e14d4819091c381f96c43c58b |
completed | May 8, 2026, 1:32 a.m. |
Created at: April 10, 2026, 1:11 a.m.