Triple
T18323753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holden LH Torana |
E438947
|
entity |
| Predicate | hasPerformancePackage |
P73918
|
FINISHED |
| Object | SL/R 5000 |
—
|
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: SL/R 5000 | Statement: [Holden LH Torana, hasPerformancePackage, SL/R 5000]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SL/R 5000 Context triple: [Holden LH Torana, hasPerformancePackage, SL/R 5000]
-
A.
SL/R 5000
chosen
The SL/R 5000 is a high-performance V8 sports sedan version of the Holden LX Torana, renowned in Australia for its motorsport heritage and muscle car status.
-
B.
SL5
SL5 is a bus rapid transit route on Boston’s MBTA Silver Line that runs between downtown and the Roxbury/Dudley Square area.
-
C.
SL-3
SL-3 is the NASA designation for Skylab 3, the second crewed mission to the Skylab space station conducted in 1973.
-
D.
SL R
SL R is a Finnish post-nominal abbreviation indicating that its holder has been awarded a rank in the Order of the Lion of Finland.
-
E.
SL1
SL1 is a Boston bus rapid transit route on the MBTA Silver Line that connects downtown with Logan International Airport.
- 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_69d8b916a2d081909e249e4902f6aad9 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50aa93fb0819083293b80e8400c4e |
completed | April 19, 2026, 5:02 p.m. |
Created at: April 10, 2026, 10:36 a.m.