Triple
T17245774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LE-9 |
E418620
|
entity |
| Predicate | cycleSubtype |
P126539
|
FINISHED |
| Object | expander bleed–like simplified staged combustion |
—
|
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: expander bleed–like simplified staged combustion | Statement: [LE-9, cycleSubtype, expander bleed–like simplified staged combustion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cycleSubtype Context triple: [LE-9, cycleSubtype, expander bleed–like simplified staged combustion]
-
A.
cycleType
Indicates the specific kind or category of cycle involved in a repeated or cyclical process or relationship.
-
B.
cycleTheme
Indicates a recurring subject, motif, or pattern that repeatedly appears or is developed across parts of a work, process, or sequence.
-
C.
cycleStructure
Indicates the arrangement and connections of elements within a repeating or cyclical pattern, specifying how components are ordered and linked in a cycle.
-
D.
cycleWith
Indicates that two or more entities participate together in a cycling activity, such as riding bicycles along the same route or at the same time.
-
E.
bicycleType
Indicates the specific kind or category of bicycle associated with an 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_69d886d8e96081909870bff6c3d0bf09 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e23b8948190870d0e6b4e55b4e3 |
completed | April 19, 2026, 1:21 a.m. |
| PD | Predicate disambiguation | batch_69e3832553ac819091aa917c84f755b6 |
completed | April 18, 2026, 1:12 p.m. |
| PDg | Predicate description generation | batch_69e3873f62108190966c4e741ebd548d |
completed | April 18, 2026, 1:29 p.m. |
Created at: April 10, 2026, 5:39 a.m.