Triple
T19578585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bulgogi |
E489924
|
entity |
| Predicate | canBeUsedIn |
P25490
|
FINISHED |
| Object | Bulgogi burger |
—
|
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: Bulgogi burger | Statement: [Bulgogi, canBeUsedIn, Bulgogi burger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bulgogi burger Context triple: [Bulgogi, canBeUsedIn, Bulgogi burger]
-
A.
Bulgogi
chosen
Bulgogi is a popular Korean dish of thinly sliced, marinated beef grilled or pan-cooked for a savory-sweet flavor.
-
B.
Sasebo burger
Sasebo burger is a Japanese-style, American-inspired gourmet hamburger known for its large size, rich toppings, and origin in the naval port city of Sasebo.
-
C.
Mandu
Mandu is a historic fortified city in central India renowned for its Afghan-era architecture, romantic legends, and scenic hilltop setting.
-
D.
Mongolian Beef
"Mongolian Beef" is a track from the collaborative hip-hop album *Czarface Meets Ghostface* by Czarface and Ghostface Killah.
-
E.
Chum Burger
Chum Burger is a fictional, notoriously unappetizing fast-food item served at the Chum Bucket restaurant in the animated series "SpongeBob SquarePants."
- 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_69d8e8dd9374819098e36349b3211663 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6402693d88190a828c0e136895783 |
completed | April 20, 2026, 3:03 p.m. |
Created at: April 10, 2026, 1:42 p.m.