Triple
T1279047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maryland Department of the Environment |
E27280
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
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.
|
E147021
|
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: MDE | Statement: [Maryland Department of the Environment, abbreviation, MDE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MDE Context triple: [Maryland Department of the Environment, abbreviation, MDE]
-
A.
MDA
MDA (Monochrome Display Adapter) is IBM's original text-only video display standard for early IBM PCs, providing high-resolution monochrome output without graphics capabilities.
-
B.
MDA
MDA is the three-letter ISO 3166-1 alpha-3 country code representing the Republic of Moldova.
-
C.
MAD
MAD is the three-letter IATA airport code for Adolfo Suárez Madrid–Barajas Airport, the main international airport serving Madrid, Spain.
-
D.
MDT
MDT is the stock ticker symbol for Medtronic, a leading global medical technology company specializing in devices and therapies for chronic diseases.
-
E.
MDU
MDU is the official county code used to identify Madera County in administrative and governmental contexts.
- 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: MDE Triple: [Maryland Department of the Environment, abbreviation, MDE]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MDE Target entity description: 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.
-
A.
MDA
MDA (Monochrome Display Adapter) is IBM's original text-only video display standard for early IBM PCs, providing high-resolution monochrome output without graphics capabilities.
-
B.
MDA
MDA is the three-letter ISO 3166-1 alpha-3 country code representing the Republic of Moldova.
-
C.
MAD
MAD is the three-letter IATA airport code for Adolfo Suárez Madrid–Barajas Airport, the main international airport serving Madrid, Spain.
-
D.
MDT
MDT is the stock ticker symbol for Medtronic, a leading global medical technology company specializing in devices and therapies for chronic diseases.
-
E.
MDU
MDU is the official county code used to identify Madera County in administrative and governmental contexts.
- 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_69a496d3710c8190955dee8bc0dacb50 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c092eb688190bf42bbd59e4ff289 |
completed | March 1, 2026, 10:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aca2f91b348190b2994af7edaf4f67 |
completed | March 7, 2026, 10:13 p.m. |
| NEDg | Description generation | batch_69aca3ee6d748190bb5b214471f5c191 |
completed | March 7, 2026, 10:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69aca44c41908190981d4ccdcaa7b613 |
completed | March 7, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:50 p.m.