Triple
T7665356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Composite |
E173610
|
entity |
| Predicate | ClientRole |
P78653
|
FINISHED |
| Object | treats all objects in the composition uniformly |
—
|
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: treats all objects in the composition uniformly | Statement: [Composite, ClientRole, treats all objects in the composition uniformly]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ClientRole Context triple: [Composite, ClientRole, treats all objects in the composition uniformly]
-
A.
CDCRole
Indicates that one entity holds a specific role or function within a clinical data collection (CDC) context relative to another entity.
-
B.
ownerRole
Indicates the role or capacity in which an entity serves as the owner of another entity.
-
C.
catalogRole
Indicates that an entity holds a specific functional role or responsibility within the context of a catalog or cataloging system.
-
D.
typeOfRole
Indicates that one entity specifies the kind or category of role that another entity holds or performs.
-
E.
unitRole
Indicates the functional role or purpose that a unit serves within a larger system or context.
- 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_69c699562484819086752091e3164a27 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7063dab1881909598b04999b8b690 |
completed | March 27, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69c7015f7430819099d3ea2781b7cee2 |
completed | March 27, 2026, 10:14 p.m. |
| PDg | Predicate description generation | batch_69c7063cfd78819095c6501fe8d57312 |
completed | March 27, 2026, 10:35 p.m. |
Created at: March 27, 2026, 4 p.m.