Triple
T25745878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lexus F |
E648342
|
entity |
| Predicate | distinctionFromFSPORT |
P159499
|
FINISHED |
| Object | F SPORT models are appearance and mild performance packages |
—
|
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: F SPORT models are appearance and mild performance packages | Statement: [Lexus F, distinctionFromFSPORT, F SPORT models are appearance and mild performance packages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distinctionFromFSPORT Context triple: [Lexus F, distinctionFromFSPORT, F SPORT models are appearance and mild performance packages]
-
A.
distinctionFromFSPORT
chosen
Indicates that one entity is explicitly distinguished from, and not considered part of, the category or concept represented by FSPORT.
-
B.
distinctionFromArena
Indicates a relationship where something is explicitly differentiated from, or not considered part of, a particular arena or domain.
-
C.
relatedSport
Indicates that there is an association or connection between an entity and a particular sport.
-
D.
distinction
Indicates that one entity is recognized, treated, or classified as different or separate from another.
-
E.
distinctionFromOtherCategories
Indicates that something is differentiated or set apart from other categories, emphasizing its unique or non-overlapping classification.
- F. None of above.
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_69e7ab306eec8190b05c312c6ab186b8 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f5fd1e9dd081908c70074c8aa49e51 |
completed | May 2, 2026, 1:33 p.m. |
| PD | Predicate disambiguation | batch_69f5afec3e94819080d9ba86cf8c866e |
completed | May 2, 2026, 8:03 a.m. |
Created at: April 22, 2026, 3:51 a.m.