Triple
T16632507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chum Bucket |
E404111
|
entity |
| Predicate | hasMenuItem |
P19940
|
FINISHED |
| Object | Chumwich |
E830963
|
NE FINISHED |
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: Chumwich | Statement: [Chum Bucket, hasMenuItem, Chumwich]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chumwich Context triple: [Chum Bucket, hasMenuItem, Chumwich]
-
A.
Bacone
Bacone is a small private liberal arts college in Muskogee, Oklahoma, historically affiliated with Native American education and tribal nations.
-
B.
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.
-
C.
BLT
BLT is a Swiss public transport company that operates tram and bus services in and around the Basel region.
-
D.
Mehunaise
Mehunaise is the French demonym for a female inhabitant of the town of Mehun-sur-Yèvre in central France.
-
E.
Ribwich
chosen
Ribwich is a fictional limited-time pork sandwich from The Simpsons’ Krusty Burger, parodying fast-food promotional items like McDonald’s McRib.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e378e704c08190a28286ac12165ea5 |
completed | April 18, 2026, 12:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007dbe82b4819093b954567790bef7 |
completed | May 10, 2026, 12:44 p.m. |
Created at: April 10, 2026, 5:17 a.m.