Triple
T7298320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cocaine |
E167778
|
entity |
| Predicate | hasDependenceType |
P76076
|
FINISHED |
| Object | psychological dependence |
—
|
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: psychological dependence | Statement: [Cocaine, hasDependenceType, psychological dependence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDependenceType Context triple: [Cocaine, hasDependenceType, psychological dependence]
-
A.
hasDependency
Indicates that one entity relies on or requires another entity in order to function, exist, or be fulfilled.
-
B.
hasContainmentType
Indicates the specific way in which one entity is contained within or enclosed by another.
-
C.
haveType
Indicates that an entity belongs to or is classified under a specified type or category.
-
D.
hasDependentSupport
Indicates that one entity provides financial or material support for another entity who is recognized as a dependent.
-
E.
hasParType
Indicates that an entity has a specific parent type or category to which it belongs.
- 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_69c6888c820881909fc68f689fe1c251 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6eb8f83c881909e8eae85410f9659 |
completed | March 27, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69c6e76e67d88190bd3ca6864f45845a |
completed | March 27, 2026, 8:24 p.m. |
| PDg | Predicate description generation | batch_69c6eb2d4c0c8190b4cc6fdfdb7f4827 |
completed | March 27, 2026, 8:40 p.m. |
Created at: March 27, 2026, 3 p.m.