Triple
T14885904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Department of Health (Victoria) |
E350119
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
DH
DH is the Victorian state government department responsible for public health policy, services, and regulation in Victoria, Australia.
|
E1125532
|
NE FINISHED |
How this triple was built (4 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: DH | Statement: [Department of Health (Victoria), hasAbbreviation, DH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DH Context triple: [Department of Health (Victoria), hasAbbreviation, DH]
-
A.
DH
DH is the official abbreviation for Puerto Rico’s Department of Treasury, the government agency responsible for managing the island’s fiscal and tax affairs.
-
B.
DH
DH is the commonly used currency symbol representing the Moroccan dirham.
-
C.
DH
DH is the postcode area covering Durham and surrounding parts of North East England in the United Kingdom.
-
D.
DH
DH is the regional vehicle registration code assigned to motor vehicles registered in Kupang, Indonesia.
-
E.
DHM
DHM is the National Rail station code for Durham railway station in County Durham, England.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: DH Triple: [Department of Health (Victoria), hasAbbreviation, DH]
Generated description
DH is the Victorian state government department responsible for public health policy, services, and regulation in Victoria, Australia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DH Target entity description: DH is the Victorian state government department responsible for public health policy, services, and regulation in Victoria, Australia.
-
A.
DH
DH is the official abbreviation for Puerto Rico’s Department of Treasury, the government agency responsible for managing the island’s fiscal and tax affairs.
-
B.
DH
DH is the commonly used currency symbol representing the Moroccan dirham.
-
C.
DH
DH is the postcode area covering Durham and surrounding parts of North East England in the United Kingdom.
-
D.
DH
DH is the regional vehicle registration code assigned to motor vehicles registered in Kupang, Indonesia.
-
E.
DHM
DHM is the National Rail station code for Durham railway station in County Durham, England.
- F. None of above. chosen
Provenance (5 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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5f5b1c88190815f3585770cb135 |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b5d0a208190b2490c86b15a42db |
completed | May 8, 2026, 11:01 p.m. |
| NEDg | Description generation | batch_69fe6c7cc6a481908b1b7e15cd7640a5 |
completed | May 8, 2026, 11:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe6e0950e481909c63e47bc98267bf |
completed | May 8, 2026, 11:13 p.m. |
Created at: April 10, 2026, 1:56 a.m.