Triple
T6549817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trang |
E151101
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object |
Trang cake
Trang cake is a traditional Vietnamese rice-based delicacy associated with the city of Trang, known for its simple ingredients and distinctive regional flavor.
|
E605448
|
NE FINISHED |
How this triple was built (4 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, knownFor, Trang cake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trang cake Context triple: [Trang, knownFor, Trang cake]
-
A.
Beecake
Beecake is a Scottish alternative rock band fronted by actor and musician Billy Boyd.
-
B.
Sweety Cakes
"Sweety Cakes" is a song by the band April in Paris, known as one of their notable tracks.
-
C.
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.
-
D.
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.
-
E.
Ceci
Ceci is a given name or nickname, typically used as a shortened, informal form of the name Cecilia.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Trang cake Triple: [Trang, knownFor, Trang cake]
Generated description
Trang cake is a traditional Vietnamese rice-based delicacy associated with the city of Trang, known for its simple ingredients and distinctive regional flavor.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Trang cake Target entity description: Trang cake is a traditional Vietnamese rice-based delicacy associated with the city of Trang, known for its simple ingredients and distinctive regional flavor.
-
A.
Beecake
Beecake is a Scottish alternative rock band fronted by actor and musician Billy Boyd.
-
B.
Sweety Cakes
"Sweety Cakes" is a song by the band April in Paris, known as one of their notable tracks.
-
C.
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.
-
D.
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.
-
E.
Ceci
Ceci is a given name or nickname, typically used as a shortened, informal form of the name Cecilia.
- F. None of above. chosen
Provenance (5 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_69c6d55113408190b96baf2747f36e3c |
completed | March 27, 2026, 7:06 p.m. |
| NEDg | Description generation | batch_69c6d82753288190bb8cd18254feee2d |
completed | March 27, 2026, 7:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6d92bc2508190b0e1eaf8b46c958e |
completed | March 27, 2026, 7:23 p.m. |
Created at: March 27, 2026, 1:51 p.m.