Triple
T37278889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 400 cu in Pontiac V8 |
E925322
|
entity |
| Predicate | emissionsEraDetuning |
P189382
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [400 cu in Pontiac V8, emissionsEraDetuning, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emissionsEraDetuning Context triple: [400 cu in Pontiac V8, emissionsEraDetuning, yes]
-
A.
emissionsEra
Indicates the time period or era during which the emissions associated with an entity occur or are recorded.
-
B.
recordingEra
Indicates the historical time period or era during which the recording was made.
-
C.
emissionsComparedToPredecessor
Indicates how the emissions of an entity compare in magnitude (e.g., higher, lower, or equal) to those of its immediate predecessor.
-
D.
propulsionEra
Indicates the historical period or generation of propulsion technology associated with an entity (e.g., vehicle, engine, or system).
-
E.
endedEra
Indicates that one entity brought about or marked the conclusion of a particular era associated with another entity.
- 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_69f76eafe20c8190856d3b996a4c31a7 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbbc49da8c8190902bbb05d2477cab |
completed | May 6, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69fbb13f34b08190bbbb220ac1e6e666 |
completed | May 6, 2026, 9:23 p.m. |
| PDg | Predicate description generation | batch_69fbbc48b75c8190bec27dd4b7de797f |
completed | May 6, 2026, 10:10 p.m. |
Created at: May 3, 2026, 4:16 p.m.