Triple
T18205544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rutherford engine |
E435891
|
entity |
| Predicate | numberPerSecondStage |
P130230
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Rutherford engine, numberPerSecondStage, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberPerSecondStage Context triple: [Rutherford engine, numberPerSecondStage, 1]
-
A.
numberPerStage
Indicates the quantity or count associated with each distinct stage in a multi-stage process or sequence.
-
B.
numberOfStages
Indicates the total count of distinct stages or phases associated with a given process, event, or entity.
-
C.
secondStage
Indicates that something functions as the subsequent or follow-up stage in a multi-stage process or sequence.
-
D.
secondStageType
Indicates the specific kind or category of a process, object, or event that occurs as the second stage in a multi-stage sequence.
-
E.
coreStageLength
Indicates the length or duration of the main or primary stage within a multi-stage process or structure.
- 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_69d8b90dba6481908e119eb9aa4ca0cb |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e2234b988190bbe2c2164d61f65f |
completed | April 19, 2026, 2:09 p.m. |
| PD | Predicate disambiguation | batch_69e4332155d88190b106d0dceb4554af |
completed | April 19, 2026, 1:42 a.m. |
| PDg | Predicate description generation | batch_69e438f684e48190b38c64b58c518b6a |
completed | April 19, 2026, 2:07 a.m. |
Created at: April 10, 2026, 10:32 a.m.