Triple
T28872815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FHIR Organization |
E732179
|
entity |
| Predicate | addressRepresents |
P166511
|
FINISHED |
| Object | postal addresses of the organization |
—
|
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: postal addresses of the organization | Statement: [FHIR Organization, addressRepresents, postal addresses of the organization]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: addressRepresents Context triple: [FHIR Organization, addressRepresents, postal addresses of the organization]
-
A.
address
Indicates that one entity directs spoken or written communication specifically to another entity.
-
B.
addressType
Indicates the specific kind or category of address associated with an entity (e.g., home, work, billing, or shipping).
-
C.
addressSystem
Indicates a relationship where an entity uses or is organized according to a particular addressing scheme or system (such as postal, IP, or other structured address formats).
-
D.
addressArea
Indicates the geographic area or region that an address is located in or associated with.
-
E.
addresses
Indicates that one entity directs speech, communication, or written correspondence specifically toward another entity.
- 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_69f05b06807c81909b4bbd4c20403a2b |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f6622808b48190bbabcc75288ab031 |
completed | May 2, 2026, 8:44 p.m. |
| PD | Predicate disambiguation | batch_69f660f082508190a95a7888ad66cb2e |
completed | May 2, 2026, 8:39 p.m. |
| PDg | Predicate description generation | batch_69f6617a7e7c81908cfac4a2250797ee |
completed | May 2, 2026, 8:41 p.m. |
Created at: April 28, 2026, 7:34 a.m.