Triple
T29605863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patient Demographics Supplier |
E754574
|
entity |
| Predicate | exchangesDataWith |
P127948
|
FINISHED |
| Object | other healthcare information systems |
—
|
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: other healthcare information systems | Statement: [Patient Demographics Supplier, exchangesDataWith, other healthcare information systems]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exchangesDataWith Context triple: [Patient Demographics Supplier, exchangesDataWith, other healthcare information systems]
-
A.
isExchangedVia
Indicates that something is transferred or traded from one party to another through a specified medium, channel, or mechanism.
-
B.
supportsDataExchange
chosen
Indicates that one entity enables or facilitates the transfer or sharing of data with another entity.
-
C.
hasInterchangesWith
Indicates that two transportation routes, lines, or services share one or more points where passengers can transfer between them.
-
D.
baseExchange
Indicates an exchange relationship where one entity serves as the base or reference for converting, trading, or swapping value with another.
-
E.
exchangeType
Indicates the kind or category of exchange occurring between entities, such as the method, direction, or nature of what is being traded or transferred.
- 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_69f0ef84e5d08190a0df17f5930ceed3 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f66de7e8948190aa0bfe17808ad8b9 |
completed | May 2, 2026, 9:34 p.m. |
| PD | Predicate disambiguation | batch_69f6659d36208190b01412600a4ed57d |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 28, 2026, 6:25 p.m.