Triple
T7157016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Exicure, Inc. |
E166837
|
entity |
| Predicate | pipelineIncludes |
P75199
|
FINISHED |
| Object | preclinical nucleic acid candidates |
—
|
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: preclinical nucleic acid candidates | Statement: [Exicure, Inc., pipelineIncludes, preclinical nucleic acid candidates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pipelineIncludes Context triple: [Exicure, Inc., pipelineIncludes, preclinical nucleic acid candidates]
-
A.
processIncludes
Indicates that a process contains, encompasses, or incorporates another process or subprocess as part of its overall execution or structure.
-
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.
outputIncludes
Indicates that the result or product of a process, function, or action contains or incorporates a specified element or component.
-
D.
pipelineDepth
Indicates the number of sequential processing stages or steps that data or tasks pass through in a pipeline.
-
E.
sourcesInclude
Indicates that one entity’s content, data, or information is derived from, references, or incorporates material from another specified source.
- 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_69c68887a5cc8190bec0ea96227164f7 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e80f14808190907ee84523630d85 |
completed | March 27, 2026, 8:26 p.m. |
| PD | Predicate disambiguation | batch_69c6e1cd5c948190a9113b23f7308c21 |
completed | March 27, 2026, 8 p.m. |
| PDg | Predicate description generation | batch_69c6e4a213508190a40aca39f9eee7d5 |
completed | March 27, 2026, 8:12 p.m. |
Created at: March 27, 2026, 2:47 p.m.