Triple
T15564064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sequel System |
E371070
|
entity |
| Predicate | sequencingMode |
P119203
|
FINISHED |
| Object | single-molecule |
—
|
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: single-molecule | Statement: [Sequel System, sequencingMode, single-molecule]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sequencingMode Context triple: [Sequel System, sequencingMode, single-molecule]
-
A.
sequencerType
Indicates the specific kind or category of sequencer associated with or used in relation to an entity.
-
B.
sequencerResolution
Indicates the level of timing detail or granularity at which a sequencer can represent or process events.
-
C.
sequencerName
Indicates the name or identifier assigned to a particular sequencer involved in a process or operation.
-
D.
operationSequence
Indicates that one operation occurs in a specific order relative to another within a defined sequence of actions.
-
E.
featuresSequence
Indicates that one entity presents or contains another entity as an ordered sequence of features or elements.
- 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_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. |
| PDg | Predicate description generation | batch_69dff7f05f708190850f1d8782e132b0 |
completed | April 15, 2026, 8:41 p.m. |
Created at: April 10, 2026, 4:10 a.m.