Triple
T17990444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lie Kaas |
E430354
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Kaas |
—
|
NE NERFINISHED |
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: Kaas | Statement: [Lie Kaas, hasPart, Kaas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaas Context triple: [Lie Kaas, hasPart, Kaas]
-
A.
Kaas
chosen
Kaas is the surname of Patricia Kaas, a renowned French singer and actress known for her blend of pop, cabaret, and chanson.
-
B.
Limburger cheese
Limburger cheese is a pungent, soft washed-rind cheese from Belgium and Germany, famous for its strong odor and creamy interior.
-
C.
Maasdam cheese
Maasdam cheese is a Dutch semi-hard cow's milk cheese similar to Swiss Emmental, known for its large holes, sweet nutty flavor, and good melting properties.
-
D.
Oka cheese
Oka cheese is a semi-soft, washed-rind Canadian cheese from Quebec, renowned for its distinctive pungent aroma and creamy, nutty flavor.
-
E.
Edam
Edam is a historic Dutch town in North Holland, internationally known for its namesake Edam cheese and traditional cheese markets.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b90364248190a37381adea932f42 |
completed | April 10, 2026, 8:46 a.m. |
| NER | Named-entity recognition | batch_69e4b29f127c81908b0c4cb3787e002c |
completed | April 19, 2026, 10:46 a.m. |
Created at: April 10, 2026, 10:23 a.m.