Triple
T18206372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World State |
E435912
|
entity |
| Predicate | primaryDrug |
P130235
|
FINISHED |
| Object | soma |
—
|
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: soma | Statement: [World State, primaryDrug, soma]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryDrug Context triple: [World State, primaryDrug, soma]
-
A.
primarySubstanceExample
Indicates that one entity serves as the main illustrative example of a particular substance associated with another entity.
-
B.
primarySin
Indicates a fundamental or chief moral wrongdoing attributed to an entity, often viewed as the root or most significant sin in a given context.
-
C.
mainDrugRoute
Indicates the primary method or pathway by which a drug is administered or delivered to its target.
-
D.
primaryTreatment
Indicates that a specified treatment is the main or first-line intervention used to address a particular condition or problem, as opposed to secondary or adjunctive treatments.
-
E.
isProdrugOf
Indicates that one substance is a precursor form that is metabolized in the body to produce the active form of another substance.
- 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_69d8b90dba6481908e119eb9aa4ca0cb |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e2234b988190bbe2c2164d61f65f |
completed | April 19, 2026, 2:09 p.m. |
| PD | Predicate disambiguation | batch_69e4332155d88190b106d0dceb4554af |
completed | April 19, 2026, 1:42 a.m. |
| PDg | Predicate description generation | batch_69e438f684e48190b38c64b58c518b6a |
completed | April 19, 2026, 2:07 a.m. |
Created at: April 10, 2026, 10:32 a.m.