Triple
T18064920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ferrari Dino V6 |
E432270
|
entity |
| Predicate | emblematicEra |
P561
|
FINISHED |
| Object | 1960s Ferrari engineering |
—
|
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: 1960s Ferrari engineering | Statement: [Ferrari Dino V6, emblematicEra, 1960s Ferrari engineering]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emblematicEra Context triple: [Ferrari Dino V6, emblematicEra, 1960s Ferrari engineering]
-
A.
partOfEra
Indicates that one entity exists as a temporal segment or component within the duration or scope of a larger historical era.
-
B.
notableEraNickname
Indicates the informal or popular nickname by which a particular historical era or period is commonly known.
-
C.
notableEra
chosen
Indicates the historical period or era for which an entity is especially recognized or significant.
-
D.
historicalEraUsheredIn
Indicates the historical era or period that was initiated or brought about as a result of a particular event, action, or entity.
-
E.
notableLabelEra
Indicates the historical era or time period for which a label, title, or designation is considered notable or especially relevant.
- 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_69d8b9070cac81909fa9473fb1c3f1c7 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4cce81de88190bd94d4ccee3e180c |
completed | April 19, 2026, 12:39 p.m. |
| PD | Predicate disambiguation | batch_69e3f90c652481908133a73106d78919 |
completed | April 18, 2026, 9:35 p.m. |
Created at: April 10, 2026, 10:26 a.m.