Triple
T15564075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sequel IIe System |
E371071
|
entity |
| Predicate | sequencingType |
P45519
|
FINISHED |
| Object | long-read sequencing |
—
|
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: long-read sequencing | Statement: [Sequel IIe System, sequencingType, long-read sequencing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sequencingType Context triple: [Sequel IIe System, sequencingType, long-read sequencing]
-
A.
sequencerType
chosen
Indicates the specific kind or category of sequencer associated with or used in relation to an entity.
-
B.
genomeSequenced
Indicates that the complete DNA sequence of an organism’s genome has been determined and recorded.
-
C.
numberingType
Indicates the scheme or style used to assign sequential numbers or labels within an ordered set.
-
D.
typeOfGSE
Indicates that one entity is classified as a specific type or category of Ground Support Equipment (GSE) in relation to another.
-
E.
sequencerName
Indicates the name or identifier assigned to a particular sequencer involved in a process or operation.
- F. None of above.
Provenance (3 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_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ddc66448190948280fb0c8d390c |
completed | April 16, 2026, 2:47 a.m. |
| PD | Predicate disambiguation | batch_69deda7e6e748190b29ccce23298afef |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:10 a.m.