Triple
T10325204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SVT |
E242743
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Ford Focus |
E392697
|
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: Ford Focus | Statement: [SVT, associatedWith, Ford Focus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ford Focus Context triple: [SVT, associatedWith, Ford Focus]
-
A.
Ford Focus
chosen
The Ford Focus is a popular compact car known for its agile handling, practicality, and strong sales in global markets.
-
B.
Ford Fiesta
The Ford Fiesta is a popular supermini/subcompact car produced by Ford, known for its practicality, efficiency, and wide appeal in urban and everyday driving.
-
C.
Ford Mondeo
The Ford Mondeo is a mid-size family car produced by Ford, known for its practicality, comfort, and strong presence in the European market.
-
D.
Ford Fusion
The Ford Fusion is a mid-size sedan produced by Ford, known for its mainstream appeal, fuel-efficient powertrains, and role as one of the brand’s core passenger cars in the 2000s and 2010s.
-
E.
Ford Escape
The Ford Escape is a compact crossover SUV produced by Ford, known for its family-friendly practicality, car-like handling, and broad range of engine and technology options.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7cd76348190b93562112300acfc |
completed | April 7, 2026, 10:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71da93b988190ad568b0677b5d344 |
completed | April 9, 2026, 3:31 a.m. |
Created at: April 6, 2026, 11:51 a.m.