Triple
T4095275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mississippi State Department of Health |
E87800
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | MSDH |
E87800
|
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: MSDH | Statement: [Mississippi State Department of Health, abbreviation, MSDH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MSDH Context triple: [Mississippi State Department of Health, abbreviation, MSDH]
-
A.
MDSHS
MDSHS is the acronym for the Maryland State Highway System, the network of state-maintained roads and highways in Maryland.
-
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.
MSH
MSH is the vehicle registration code for the Mansfeld-Südharz district in the German state of Saxony-Anhalt.
-
D.
MDTA
MDTA is a U.S. federal law enacted in 1962 that funded job training programs to help unemployed and underemployed workers gain skills for available jobs.
-
E.
Mississippi State Department of Health
chosen
The Mississippi State Department of Health is the state agency responsible for protecting and promoting public health in Mississippi through disease prevention, health regulation, and community health programs.
- 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_69aed94564cc8190a9c1457daedb6e7f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefcddd76c81909fbf5db1f5d91a14 |
completed | March 9, 2026, 5:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b56b6f8bb081908aa2d126fe3c9502 |
completed | March 14, 2026, 2:06 p.m. |
Created at: March 9, 2026, 3:40 p.m.