Triple
T24638072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EMD 645-series diesel engine |
E609867
|
entity |
| Predicate | scavengingType |
P156873
|
FINISHED |
| Object | uniflow scavenging |
—
|
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: uniflow scavenging | Statement: [EMD 645-series diesel engine, scavengingType, uniflow scavenging]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scavengingType Context triple: [EMD 645-series diesel engine, scavengingType, uniflow scavenging]
-
A.
scavenges
Indicates that one entity searches through and collects discarded or leftover resources from another entity or environment for its own use.
-
B.
includesScavengingTaxa
Indicates that the referenced group or assemblage contains taxa that engage in scavenging behavior (feeding on dead or decaying organic matter).
-
C.
carnivoryType
Indicates the specific manner or strategy by which an organism engages in carnivory (i.e., how it feeds on animal prey).
-
D.
carnivorousType
Indicates that one entity is a type or category of organism that feeds primarily on other animals (is carnivorous).
-
E.
foragingTendency
Indicates the degree to which an entity is inclined or likely to engage in searching for and gathering food or resources.
- 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_69e2c4d28f848190ac38c400060e943d |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be064ff88190b5d9e5ec75a41242 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6d0ab708190b2e3b94dd20ca76b |
completed | April 30, 2026, 12:48 a.m. |
| PDg | Predicate description generation | batch_69f2b8b8bc5881908df49c0b07110246 |
completed | April 30, 2026, 2:04 a.m. |
Created at: April 18, 2026, 2:33 a.m.