Triple
T33974879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RHINE |
E871107
|
entity |
| Predicate | developsDrugFor |
P105584
|
FINISHED |
| Object | Roche |
—
|
NE NERFINISHED |
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: Roche | Statement: [RHINE, developsDrugFor, Roche]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: developsDrugFor Context triple: [RHINE, developsDrugFor, Roche]
-
A.
developedDrugFor
chosen
Indicates that one entity created or formulated a drug intended to treat or address a medical condition associated with another entity.
-
B.
coDeveloperDrug
Indicates a relationship where two or more entities jointly participate in the development of a drug.
-
C.
developsTreatmentFor
Indicates that one entity creates or advances a medical or therapeutic intervention intended to address a condition, disease, or problem affecting another entity.
-
D.
discoveredAsDrugIn
Indicates that something was first identified, developed, or recognized for use as a drug within a specified context, such as a study, project, or time period.
-
E.
drugProduced
Indicates that a particular drug is manufactured or generated by a specified producer or source.
- 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_69f3499da0188190ab1a4ff06fb06a2a |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fcf825ca7081909d06b0df33eb33f9 |
completed | May 7, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69fcf42160f0819096812a8bf590875e |
completed | May 7, 2026, 8:20 p.m. |
Created at: May 1, 2026, 1:50 a.m.