Triple
T6549915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trang province |
E151103
|
entity |
| Predicate | hasCuisineSpecialty |
P5786
|
FINISHED |
| Object | Trang cake |
E605448
|
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: Trang cake | Statement: [Trang province, hasCuisineSpecialty, Trang cake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trang cake Context triple: [Trang province, hasCuisineSpecialty, Trang cake]
-
A.
Trang cake
chosen
Trang cake is a traditional Vietnamese rice-based delicacy associated with the city of Trang, known for its simple ingredients and distinctive regional flavor.
-
B.
Beecake
Beecake is a Scottish alternative rock band fronted by actor and musician Billy Boyd.
-
C.
Sweety Cakes
"Sweety Cakes" is a song by the band April in Paris, known as one of their notable tracks.
-
D.
Bled cream cake
Bled cream cake is a traditional Slovenian dessert from the Lake Bled region, featuring layers of puff pastry and vanilla custard cream.
-
E.
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.
- 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_69c687f3fd60819083bfa583e5bcfa71 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ae04affc8190826ee033849f2d42 |
completed | March 27, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e4214f28819083134e9e6fe6f393 |
completed | March 27, 2026, 8:10 p.m. |
Created at: March 27, 2026, 1:51 p.m.