Triple
T22614961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kent |
E552992
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Sandwich |
—
|
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: Sandwich | Statement: [Kent, contains, Sandwich]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sandwich Context triple: [Kent, contains, Sandwich]
-
A.
Sandwich
Sandwich is a historic town on Cape Cod in Massachusetts, known as one of the oldest settlements in New England and a popular coastal tourist destination.
-
B.
SANDWICH
chosen
SANDWICH is a historic town in Kent, England, known as one of the best-preserved medieval towns in the country.
-
C.
Ribwich
Ribwich is a fictional limited-time pork sandwich from The Simpsons’ Krusty Burger, parodying fast-food promotional items like McDonald’s McRib.
-
D.
BLT
BLT is a Texas-based nutrition education program focused on helping low-income individuals and families make healthier food and lifestyle choices.
-
E.
BLT
BLT is a Swiss public transport company that operates tram and bus services in and around the Basel region.
- 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_69e24545a8e08190bfa7482a2c725ff1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f167ecc7188190bf41fe2177d48e6c |
completed | April 29, 2026, 2:07 a.m. |
Created at: April 17, 2026, 2:59 p.m.