Triple
T1869359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IHE IT Infrastructure profiles |
E38997
|
entity |
| Predicate | includesProfile |
P1393
|
FINISHED |
| Object | MHD |
E198796
|
NE 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: MHD | Statement: [IHE IT Infrastructure profiles, includesProfile, MHD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MHD Context triple: [IHE IT Infrastructure profiles, includesProfile, MHD]
-
A.
IHE MHD
chosen
IHE MHD (Mobile Access to Health Documents) is an IHE profile that defines a standardized, RESTful, FHIR-based way to access, query, and exchange clinical documents and metadata in healthcare systems.
-
B.
MDH
MDH is the acronym for the Maryland Department of Health, the state agency responsible for public health services, policy, and regulation in Maryland.
-
C.
MAD
MAD is the three-letter IATA airport code for Adolfo Suárez Madrid–Barajas Airport, the main international airport serving Madrid, Spain.
-
D.
MDE
MDE is the state agency in Maryland responsible for protecting and restoring the environment and public health through regulation, monitoring, and enforcement of environmental laws.
-
E.
Hfd
Hfd is the official station code used to identify Hoofddorp railway station in the Dutch rail network.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a8862f7074819096afe7fe65e179e9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb0b7e4548190a3761133fbbb7b81 |
completed | March 7, 2026, 4:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69add1dab2a481909adb0a3132348cee |
completed | March 8, 2026, 7:45 p.m. |
Created at: March 4, 2026, 7:34 p.m.