Triple
T35254089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BMW E10 |
E1018176
|
entity |
| Predicate | successorModelSeries |
P16897
|
FINISHED |
| Object | BMW 3 Series (E21) |
—
|
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: BMW 3 Series (E21) | Statement: [BMW E10, successorModelSeries, BMW 3 Series (E21)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: successorModelSeries Context triple: [BMW E10, successorModelSeries, BMW 3 Series (E21)]
-
A.
successorModel
chosen
Indicates that one model is the direct follow-up or replacement for another earlier model.
-
B.
successorSeries
Indicates that one series directly follows another in sequence, continuing or extending it as its successor.
-
C.
successorManufacturer
Indicates that one manufacturer has taken over, replaced, or continued the role or operations of another manufacturer as its successor.
-
D.
successorBodyStyleLine
Indicates that one body style line directly follows and replaces another in a sequence or product lineage.
-
E.
successorSport
Indicates that one sport has replaced or followed another as its successor in some official or historical context.
- 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_69f76de407d081909dfc3c419817ae93 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a0010e46d948190a51111b5270fade7 |
completed | May 10, 2026, 5 a.m. |
| PD | Predicate disambiguation | batch_6a001061d34c8190bfe73f3d7c061eb7 |
completed | May 10, 2026, 4:58 a.m. |
Created at: May 3, 2026, 4:02 p.m.