Triple
T11506904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canal de Savières |
E272807
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Chanaz |
E925637
|
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: Chanaz | Statement: [Canal de Savières, flowsThrough, Chanaz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chanaz Context triple: [Canal de Savières, flowsThrough, Chanaz]
-
A.
Chanaz
chosen
Chanaz is a picturesque village in eastern France, known for its canalside setting on the Savières Canal and proximity to the Rhône and Lake Bourget.
-
B.
Chalayan
Chalayan is the surname of Hussein Chalayan, a renowned fashion designer known for his innovative, concept-driven and technologically experimental work.
-
C.
Channah
Channah is a given name, often considered a variant of the Hebrew name Hannah, traditionally associated with grace or favor.
-
D.
Scharrel
Scharrel is a village in the municipality of Saterland in Lower Saxony, Germany, known for its Saterland Frisian linguistic heritage.
-
E.
Marzelline
Marzelline is a character in Beethoven's opera "Fidelio," portrayed as the jailer Rocco’s daughter who becomes romantically entangled with the disguised heroine.
- 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_69d6aae2c3748190bed2ea50dfb160dc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d86db43a648190be859bec2fe9f43b |
completed | April 10, 2026, 3:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e624e6e5b88190a2c64dcea1d7791b |
completed | April 20, 2026, 1:06 p.m. |
Created at: April 8, 2026, 9:36 p.m.