Triple
T18071947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buffitt |
E432450
|
entity |
| Predicate | hasSpellingVariant |
P457
|
FINISHED |
| Object | Buffet |
—
|
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: Buffet | Statement: [Buffitt, hasSpellingVariant, Buffet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buffet Context triple: [Buffitt, hasSpellingVariant, Buffet]
-
A.
Buffet
chosen
Buffet is a style of meal service in which a variety of dishes are laid out on a table or sideboard for guests to serve themselves.
-
B.
The Buffet
The Buffet is a 2015 studio album by American R&B singer R. Kelly that blends contemporary R&B with elements of soul, hip hop, and pop.
-
C.
Plat du Jour
Plat du Jour is an experimental electronic music album by Matthew Herbert that critiques industrialized food production using sounds sourced from everyday culinary and agricultural environments.
-
D.
Summit Suite Buffet
Summit Suite Buffet is a revolving dining restaurant located near the top of the Skylon Tower in Niagara Falls, offering panoramic views alongside buffet-style meals.
-
E.
Banket
Banket is a small mining and farming town located in Zimbabwe's Mashonaland West Province.
- 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_69d8b9070cac81909fa9473fb1c3f1c7 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ccef022c81909be41b2c3a3ee68e |
completed | April 19, 2026, 12:39 p.m. |
Created at: April 10, 2026, 10:26 a.m.