Triple
T4214264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Honda CR-V |
E93974
|
entity |
| Predicate | salesRank |
P51791
|
FINISHED |
| Object | one of the best-selling SUVs worldwide |
—
|
LITERAL 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: one of the best-selling SUVs worldwide | Statement: [Honda CR-V, salesRank, one of the best-selling SUVs worldwide]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: salesRank Context triple: [Honda CR-V, salesRank, one of the best-selling SUVs worldwide]
-
A.
SSRank
Indicates a ranking relationship that orders entities based on their social status, standing, or relative importance within a specified context.
-
B.
bestsellingStatus
chosen
Indicates that an item has achieved a high sales ranking or volume, typically qualifying it as a “bestseller” within a defined market or category.
-
C.
rankedBy
Indicates that one entity is ordered or assigned a position in a hierarchy or list according to criteria determined or applied by another entity.
-
D.
rankedAs
Indicates that one entity is assigned a specific position or level in an ordered ranking relative to others.
-
E.
usesRank
Indicates that one entity applies or relies on a ranking or ordered level system associated with another entity.
- 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_69b3451743608190808f41d17ccf2650 |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b34e098da881909a0cc339cc186627 |
completed | March 12, 2026, 11:36 p.m. |
| PD | Predicate disambiguation | batch_69b347efd9b08190bb50f82e4e7fe06d |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:04 p.m.