Triple
T14185297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | stroopwafels |
E351558
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | stroop waffles |
E351558
|
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: stroop waffles | Statement: [stroopwafels, alsoKnownAs, stroop waffles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: stroop waffles Context triple: [stroopwafels, alsoKnownAs, stroop waffles]
-
A.
stroopwafels
chosen
Stroopwafels are traditional Dutch caramel-filled waffle cookies known for their chewy syrup center sandwiched between two thin, crisp waffle layers.
-
B.
Liège waffle
A Liège waffle is a rich, dense Belgian waffle made with yeasted dough and pearl sugar that caramelizes on the outside when cooked.
-
C.
Eggo waffles
Eggo waffles are a popular brand of frozen, ready-to-toast waffles known for their convenience and association with American breakfast culture.
-
D.
Strudel
Strudel is a traditional Central European pastry made from thinly rolled dough filled with sweet or savory ingredients, most famously apple.
-
E.
Tost
Tost is a town in present-day Toszek, Poland, historically part of Upper Silesia.
- 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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61cd5778819092a03597bcdcc182 |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd19433dc08190b4d2f1aef1b2d67d |
completed | May 7, 2026, 10:59 p.m. |
Created at: April 10, 2026, 1:03 a.m.