Triple
T11224331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NIDA Division of Therapeutics and Medical Consequences |
E265653
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | DTMC |
E48274
|
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: DTMC | Statement: [NIDA Division of Therapeutics and Medical Consequences, abbreviation, DTMC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DTMC Context triple: [NIDA Division of Therapeutics and Medical Consequences, abbreviation, DTMC]
-
A.
DTK
DTK is Apple’s Intel-based Developer Transition Kit Mac mini-style prototype used to help developers prepare their apps for the company’s transition to Apple Silicon.
-
B.
DTCL
DTCL is the Office of Defense Trade Controls Licensing within the U.S. Department of State that reviews and authorizes exports of defense articles and services under the International Traffic in Arms Regulations (ITAR).
-
C.
Markov
Markov is a Russian surname most famously associated with mathematician Andrey Markov, known for his pioneering work on stochastic processes and Markov chains.
-
D.
DTA
DTA is the Massachusetts state agency that administers public assistance programs such as food, cash, and employment support for low-income individuals and families.
-
E.
Markov processes
chosen
Markov processes are stochastic processes in which the future evolution depends only on the present state and not on the past history.
- 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_69d6aac59460819089b9848b27f57848 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8ee15d4819087449058addef597 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4978389848190ac5a8b985bbea15f |
completed | April 19, 2026, 8:51 a.m. |
Created at: April 8, 2026, 9:30 p.m.