Triple
T18379660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alpine |
E446409
|
entity |
| Predicate | debutedModel |
P61333
|
FINISHED |
| Object | A106 |
—
|
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: A106 | Statement: [Alpine, debutedModel, A106]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: debutedModel Context triple: [Alpine, debutedModel, A106]
-
A.
debutedWith
Indicates that an entity made its first public appearance, release, or introduction in association with another specified entity.
-
B.
debuted
Indicates that an entity made its first public appearance, performance, or introduction at a particular time or place.
-
C.
productionModelDebut
chosen
Indicates the event or point in time when a model first enters official production or is publicly released as a production version.
-
D.
debutAs
Indicates that an entity makes its first public appearance or introduction in a particular role, medium, or context.
-
E.
debutFeatureOf
Indicates that one entity is the first major or initial feature (such as a debut work or appearance) 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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51799e0f4819089e8af04888549bf |
completed | April 19, 2026, 5:57 p.m. |
| PD | Predicate disambiguation | batch_69e44ff1f92c8190afbb8e85d12bf2a9 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:45 a.m.