Triple
T28872398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IHE XDR |
E732173
|
entity |
| Predicate | transaction |
P192564
|
FINISHED |
| Object | Provide and Register Document Set-b (PRDS-b) |
—
|
NE NERFINISHED |
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: Provide and Register Document Set-b (PRDS-b) | Statement: [IHE XDR, transaction, Provide and Register Document Set-b (PRDS-b)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transaction Context triple: [IHE XDR, transaction, Provide and Register Document Set-b (PRDS-b)]
-
A.
transactionNature
Indicates the type or character of a transaction, specifying what kind of exchange or operation is taking place between the involved parties.
-
B.
transactionField
Indicates that a specific data field is associated with, or belongs to, a particular transaction.
-
C.
transactionModel
Indicates a relationship where an entity uses or is governed by a specific structured framework or schema for conducting, recording, or managing transactions.
-
D.
transactionRole
Indicates the specific function or capacity an entity assumes within a transaction (such as buyer, seller, payer, or recipient).
-
E.
transactionCounterparty
Indicates that one entity is the other party involved in a financial or commercial transaction with the subject 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_69fd19f791f48190bbb6f6047f9ddc59 |
completed | May 7, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69fd0df365948190bc9bfc7ffd46acd8 |
completed | May 7, 2026, 10:10 p.m. |
| PDg | Predicate description generation | batch_69fd19f6a7888190aa7eee2b87687c53 |
completed | May 7, 2026, 11:02 p.m. |
Created at: April 28, 2026, 7:34 a.m.