Triple
T4492430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alnylam Pharmaceuticals |
E100609
|
entity |
| Predicate | targetOrgan |
P34395
|
FINISHED |
| Object | liver |
—
|
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: liver | Statement: [Alnylam Pharmaceuticals, targetOrgan, liver]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetOrgan Context triple: [Alnylam Pharmaceuticals, targetOrgan, liver]
-
A.
targetOrganization
Indicates that one entity is the organization that is the focus, recipient, or primary subject of another entity’s action, service, or relationship.
-
B.
target
Indicates that one entity is the intended object, goal, or focus of another entity’s action or attention.
-
C.
regulatoryTarget
Indicates that one entity is subject to control, influence, or governance by another entity under a regulatory or rule-based framework.
-
D.
targetsSector
Indicates that an entity is directed toward, focused on, or intended to affect a particular economic or industry sector.
-
E.
targetOfIntervention
chosen
Indicates that an entity is the object or focus upon which an intervention, treatment, or action is directed.
- 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_69bd43cdf15081909a4fa2585ff63b3e |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd556f99b48190ae60506a35b43c29 |
completed | March 20, 2026, 2:10 p.m. |
| PD | Predicate disambiguation | batch_69bd5213e3d0819094b026989e686f01 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 12:59 p.m.