Triple
T13291743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Formula E |
E316573
|
entity |
| Predicate | carGeneration |
P109378
|
FINISHED |
| Object | Gen1 |
—
|
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: Gen1 | Statement: [Formula E, carGeneration, Gen1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: carGeneration Context triple: [Formula E, carGeneration, Gen1]
-
A.
conceptCarYear
Indicates the year in which a concept car was first introduced, presented, or designated.
-
B.
carModel
Indicates the specific model designation of a car within a particular make or brand.
-
C.
basedOnCarGeneration
Indicates that one car is derived from, designed according to, or otherwise based on the generation or model series of another car.
-
D.
yearFirstDelivered
Indicates the calendar year in which something (such as a product, service, or item) was first delivered or made available.
-
E.
yearModelTDevelopmentBegan
Indicates the calendar year in which the development of model T was initiated.
- F. None of above. chosen
Provenance (4 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_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6893708190aeebf4c47386cff7 |
completed | April 11, 2026, 12:01 a.m. |
| PDg | Predicate description generation | batch_69d99cf7f9c48190a6a4f452b4a2aefa |
completed | April 11, 2026, 12:59 a.m. |
Created at: April 9, 2026, 9:27 p.m.