Triple
T14144833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pontal d’Entrèves |
E350517
|
entity |
| Predicate | nearbyAttraction |
P3449
|
FINISHED |
| Object | Val Ferret |
E70931
|
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: Val Ferret | Statement: [Pontal d’Entrèves, nearbyAttraction, Val Ferret]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Val Ferret Context triple: [Pontal d’Entrèves, nearbyAttraction, Val Ferret]
-
A.
Val Ferret
chosen
Val Ferret is a scenic alpine valley near Courmayeur in the Italian Alps, renowned for its hiking, skiing, and panoramic views of the Mont Blanc massif.
-
B.
Leo le Gris
Leo le Gris is a pseudonym of León de Greiff, the influential 20th-century Colombian poet known for his erudite, musical, and highly stylized verse.
-
C.
Luc Oursel
Luc Oursel was a French business executive best known for leading the nuclear energy company Areva during the early 2010s.
-
D.
Gaspard
Gaspard is a French masculine given name historically borne by notable figures such as nobles, military leaders, and artists.
-
E.
Felice
Felice is a comic character from the classic French farce "Il cappello di paglia di Firenze" (The Florentine Straw Hat), typically involved in the play’s intricate misunderstandings and humorous situations.
- 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_69d827865f608190b311820428ae027b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61214de081909a5186ff11336f97 |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdf1b8508819096d4f5cf1456edca |
completed | May 7, 2026, 6:51 p.m. |
Created at: April 10, 2026, 12:53 a.m.