Triple
T24670323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toyota Venza |
E610811
|
entity |
| Predicate | secondGenerationBasedOn |
P41139
|
FINISHED |
| Object | Toyota Harrier (XU80) |
—
|
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: Toyota Harrier (XU80) | Statement: [Toyota Venza, secondGenerationBasedOn, Toyota Harrier (XU80)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondGenerationBasedOn Context triple: [Toyota Venza, secondGenerationBasedOn, Toyota Harrier (XU80)]
-
A.
secondGeneration
chosen
Indicates that one entity belongs to the second generation relative to another, such as being the child of a first-generation member in a lineage or sequence.
-
B.
secondGenerationEnd
Indicates the point in time or event at which the second generation of a lineage, process, or system concludes.
-
C.
secondGenerationName
Indicates that the object is the name given to the second generation derived from the subject.
-
D.
secondGenerationClass
Indicates that one entity is a second-generation class derived from or conceptually following an earlier, first-generation class.
-
E.
secondPartBasedOn
Indicates that the second part of something is determined, derived, or constructed based on the first part.
- 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_69e2c4d505cc8190981881df06c0bf52 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f44a417a58819081777e18dda149fd |
completed | May 1, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69f442a977b08190b44eac040cb90211 |
completed | May 1, 2026, 6:05 a.m. |
Created at: April 18, 2026, 2:42 a.m.