Triple
T16664998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pays du Mont-Blanc |
E404960
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Flumet |
E1012290
|
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: Flumet | Statement: [Pays du Mont-Blanc, contains, Flumet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flumet Context triple: [Pays du Mont-Blanc, contains, Flumet]
-
A.
Flumet
chosen
Flumet is a small village in the Savoie department of southeastern France, known for its traditional Alpine character and proximity to ski resorts in the French Alps.
-
B.
Flomot
Flomot is a small unincorporated rural community located in Motley County in the Texas Panhandle.
-
C.
Flon
Flon is a central urban district in Lausanne, Switzerland, known for its transformed industrial warehouses, nightlife, shopping, and cultural venues.
-
D.
Flom
Flom is a surname most notably associated with Jason Flom, an American music industry executive and criminal justice reform advocate.
-
E.
Tuzenbach
Tuzenbach is a philosophical, idealistic army officer and one of the central figures in Anton Chekhov’s play "Three Sisters," whose unrequited love and tragic fate underscore the work’s themes of longing and unfulfilled dreams.
- 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_69d8838b5fbc81908c6575c132b82e80 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37c9be0688190afda306cde934c68 |
completed | April 18, 2026, 12:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0084d21ed4819089fc70f92653694d |
completed | May 10, 2026, 1:14 p.m. |
Created at: April 10, 2026, 5:18 a.m.