Triple
T25617098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morgan |
E642186
|
entity |
| Predicate | integerPipelines |
P160927
|
FINISHED |
| Object | multiple integer pipelines |
—
|
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: multiple integer pipelines | Statement: [Morgan, integerPipelines, multiple integer pipelines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: integerPipelines Context triple: [Morgan, integerPipelines, multiple integer pipelines]
-
A.
pipelineLength
Indicates the total physical length of a pipeline connecting two or more points.
-
B.
pipeline
Indicates a sequential process or workflow where the output of one stage is passed as input to the next to achieve a final result.
-
C.
operatedPipelinesIn
Indicates that an entity has operated or managed pipelines within a specified location or jurisdiction.
-
D.
pipelineWidth
Indicates the width or capacity of a pipeline in a process or data flow.
-
E.
pipelineTo
Indicates that data, output, or results from one process, component, or stage are directed and fed as input into another in a sequential flow.
- 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_69e77e7a96748190b10f2699041e4e43 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f60cd7b3e88190a1206958c0f0b225 |
completed | May 2, 2026, 2:40 p.m. |
| PD | Predicate disambiguation | batch_69f60b8461ac81908c5bd3d73eed59f4 |
completed | May 2, 2026, 2:34 p.m. |
| PDg | Predicate description generation | batch_69f60c32ce088190a620eb59d2499fa9 |
completed | May 2, 2026, 2:37 p.m. |
Created at: April 21, 2026, 5 p.m.