Triple
T17402978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cecil Kimber |
E423141
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Morris Garages |
—
|
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: Morris Garages | Statement: [Cecil Kimber, employer, Morris Garages]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morris Garages Context triple: [Cecil Kimber, employer, Morris Garages]
-
A.
Morris Garages
chosen
Morris Garages is a historic British automotive marque, best known for its MG sports cars and later as a global car brand.
-
B.
Catford Bus Garage
Catford Bus Garage is a London bus depot that serves as a key operational base for bus services in and around the Catford area.
-
C.
Sudley Ford
Sudley Ford is a strategically important river crossing on Bull Run in Virginia, notable for its role in the First Battle of Bull Run during the American Civil War.
-
D.
Morris Motors
Morris Motors was a major British car manufacturer best known for producing popular models like the Morris Minor and helping shape the UK automotive industry in the early to mid-20th century.
-
E.
Harrison Car Maintenance Facility
Harrison Car Maintenance Facility is a rail car servicing and repair complex that supports PATH train operations in the New York–New Jersey metropolitan area.
- 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_69d889d710288190bf0f4762801fefae |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43b051cc48190872278ee0b52240d |
completed | April 19, 2026, 2:16 a.m. |
Created at: April 10, 2026, 5:45 a.m.