Triple
T37917135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ferrari Mondial t Cabriolet in New York City |
E945848
|
entity |
| Predicate | productionEndOfModel |
P57255
|
FINISHED |
| Object | 1993 |
—
|
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: 1993 | Statement: [Ferrari Mondial t Cabriolet in New York City, productionEndOfModel, 1993]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: productionEndOfModel Context triple: [Ferrari Mondial t Cabriolet in New York City, productionEndOfModel, 1993]
-
A.
productionEnd
Indicates that a production process, activity, or run has come to its completion or final stopping point.
-
B.
producedModel
Indicates that one entity created, manufactured, or generated the other entity as a model or product.
-
C.
manufacturingModel
Indicates that one entity serves as the manufacturing model, design, or template according to which another entity is produced or manufactured.
-
D.
lastModelProduced
Indicates that one entity is the most recently created or generated model associated with another entity.
-
E.
initialProductionEndDate
chosen
Indicates the date on which the initial phase or run of production for something comes to an end.
- 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_69f76ef2ebd88190be5229f2621070b3 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69ff45793d5c81909dc503ad1f714ee2 |
completed | May 9, 2026, 2:32 p.m. |
| PD | Predicate disambiguation | batch_69ff41cb0e088190a6e9b03cb20e5fad |
completed | May 9, 2026, 2:16 p.m. |
Created at: May 3, 2026, 4:20 p.m.