Triple
T4237396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ryedale |
E94725
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Leavening |
E371084
|
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: Leavening | Statement: [Ryedale, contains, Leavening]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leavening Context triple: [Ryedale, contains, Leavening]
-
A.
A Warm and Yeasty Corner
A Warm and Yeasty Corner is a work by the band Appendix Out, likely reflecting their characteristic indie folk sound and introspective songwriting.
-
B.
Fillinges
Fillinges is a commune in the Haute-Savoie department in the Auvergne-Rhône-Alpes region of southeastern France.
-
C.
Cake
"Cake" is a 2014 drama film in which Jennifer Aniston stars as a woman struggling with chronic pain and grief, featuring Mamie Gummer in a supporting role.
-
D.
Yorkshire pudding
chosen
Yorkshire pudding is a traditional English baked batter dish, typically served as a side with roast beef and gravy in British cuisine.
-
E.
Zein
Zein is the given name of Queen Zein al-Sharaf, a prominent 20th-century queen of Jordan known for her social and political influence.
- 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_69b34537cc6481909cd0a96acbb33ef7 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e7589b48190a16e7ff29fb6a162 |
completed | March 12, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5a86996f48190987d3ac234a9b7f4 |
completed | March 14, 2026, 6:26 p.m. |
Created at: March 12, 2026, 11:05 p.m.