Triple
T17871437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alnylam Pharmaceuticals, Inc. |
E446844
|
entity |
| Predicate | hasPipeline |
P129093
|
FINISHED |
| Object | RNAi therapeutics in clinical development |
—
|
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: RNAi therapeutics in clinical development | Statement: [Alnylam Pharmaceuticals, Inc., hasPipeline, RNAi therapeutics in clinical development]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPipeline Context triple: [Alnylam Pharmaceuticals, Inc., hasPipeline, RNAi therapeutics in clinical development]
-
A.
hasPipelineConnection
Indicates that one entity is linked to another via a pipeline through which materials, fluids, or data can flow.
-
B.
hasPipelineTerminal
Indicates that one entity possesses, contains, or is associated with a pipeline terminal as part of its infrastructure or connections.
-
C.
hasPipes
Indicates that one entity is equipped with, contains, or is connected to one or more pipes.
-
D.
hasTrainingPipelineFrom
Indicates that something is produced or derived as the result of a specified training pipeline or process.
-
E.
hasProcess
Indicates that an entity is associated with, participates in, or is characterized by a particular process.
- 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_69d8b9f4c22c819093c2680434472894 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49aa30ff8819090c51c1d7767e952 |
completed | April 19, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69e3d8e6d2e88190ad9ef9f8a99f13e6 |
completed | April 18, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69e3db7704588190a34a422421152173 |
completed | April 18, 2026, 7:28 p.m. |
Created at: April 10, 2026, 10:18 a.m.