Triple
T17910471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beach City |
E447805
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | Fish Stew Pizza |
—
|
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: Fish Stew Pizza | Statement: [Beach City, hasLandmark, Fish Stew Pizza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fish Stew Pizza Context triple: [Beach City, hasLandmark, Fish Stew Pizza]
-
A.
Stuffed Crust Pizza
Stuffed Crust Pizza is a popular style of pizza distinguished by a ring of melted cheese baked into its outer crust, widely associated with Pizza Hut’s innovation in the 1990s.
-
B.
Shaved Fish
Shaved Fish is a 1975 compilation album by John Lennon that collects many of his most notable solo singles from the early 1970s.
-
C.
Chum Pizza
chosen
Chum Pizza is a fictional, notoriously unappetizing pizza dish served at the Chum Bucket restaurant in the animated series "SpongeBob SquarePants."
-
D.
Kelp Fries
Kelp Fries are a fictional seaweed-based fast-food side dish served at the Krusty Krab in the animated series "SpongeBob SquarePants."
-
E.
Lasagne
Lasagne is a lightweight Python library for building and training neural networks, designed to run on top of the Theano deep learning framework.
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49ea017d081908be850a39edf601f |
completed | April 19, 2026, 9:21 a.m. |
Created at: April 10, 2026, 10:19 a.m.