Triple
T25993338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dragan Dabić |
E646418
|
entity |
| Predicate | fieldOfActivityUnderAlias |
P111844
|
FINISHED |
| Object | alternative medicine |
—
|
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: alternative medicine | Statement: [Dragan Dabić, fieldOfActivityUnderAlias, alternative medicine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fieldOfActivityUnderAlias Context triple: [Dragan Dabić, fieldOfActivityUnderAlias, alternative medicine]
-
A.
placeOfBusinessActivity
Indicates the type or nature of business activity that is conducted at a particular place or location.
-
B.
occupationDuringAlias
Indicates that an entity held a particular occupation specifically during the time period when it was known by a given alias.
-
C.
subjectAlias
Indicates that one entity is an alternative name, label, or alias referring to the same subject as another entity.
-
D.
fieldOfCooperation
Indicates a cooperative relationship in which two or more entities work together within a particular domain, discipline, or area of activity.
-
E.
area of activity
chosen
Indicates the domain, field, or sphere in which an entity is active or carries out its primary functions or operations.
- 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_69e77e88cb8481908da31d4a00661f55 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f60549019c81909fb687c81d9ac27d |
completed | May 2, 2026, 2:08 p.m. |
| PD | Predicate disambiguation | batch_69f5f7fba5248190945acf1561280799 |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 22, 2026, 8:57 a.m.