Triple
T5033056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alfa Romeo Giulietta |
E113350
|
entity |
| Predicate | nameReuse |
P34101
|
FINISHED |
| Object | revives Giulietta name used by Alfa Romeo in the 1950s |
—
|
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: revives Giulietta name used by Alfa Romeo in the 1950s | Statement: [Alfa Romeo Giulietta, nameReuse, revives Giulietta name used by Alfa Romeo in the 1950s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nameReuse Context triple: [Alfa Romeo Giulietta, nameReuse, revives Giulietta name used by Alfa Romeo in the 1950s]
-
A.
nameReusedFor
chosen
Indicates that an existing name has been used again for a different entity or instance, rather than introducing a completely new name.
-
B.
nameUsedBy
Indicates that a particular name is employed or referenced by a specific entity.
-
C.
nameUsedIn
Indicates that a particular name is employed or referenced within a specified context, work, or usage setting.
-
D.
nameUsedFor
Indicates that a particular name is used to refer to or designate a given entity.
-
E.
nameUsedToAvoid
Indicates that one entity uses a particular name or designation in order to avoid another entity or an unwanted situation involving that 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_69bd443775e48190a646ffbfc4334723 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd73b68d8c8190b8e04fb406abdb0f |
completed | March 20, 2026, 4:20 p.m. |
| PD | Predicate disambiguation | batch_69bd71509e9c8190a60c1d8d04936a12 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:36 p.m.