Triple
T3102730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BMW 3 Series |
E64756
|
entity |
| Predicate | productionStartForE30 |
P25155
|
FINISHED |
| Object | 1982 |
—
|
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: 1982 | Statement: [BMW 3 Series, productionStartForE30, 1982]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: productionStartForE30 Context triple: [BMW 3 Series, productionStartForE30, 1982]
-
A.
thirdGenerationStart
chosen
Indicates the point in time or event at which the third generation of a lineage, product line, or sequence begins.
-
B.
productionEnd
Indicates that a production process, activity, or run has come to its completion or final stopping point.
-
C.
thirdGenerationProduction
Indicates that the subject is involved in producing or manufacturing items belonging to the third generation of a product, technology, or design series.
-
D.
eraStart
Indicates the point in time at which a particular era or period begins.
-
E.
productLineStart
Indicates the point in time or position at which a particular product line begins or is first introduced.
- 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_69ad857dc98481909e585dc3372e3ed5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada26df128819086541db7680c8c24 |
completed | March 8, 2026, 4:23 p.m. |
| PD | Predicate disambiguation | batch_69ad9df06ed88190809f0683122caa5a |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:03 p.m.