Triple
T7889228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DC DOC |
E183183
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | DC DOC |
E183183
|
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: DC DOC | Statement: [DC DOC, abbreviation, DC DOC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DC DOC Context triple: [DC DOC, abbreviation, DC DOC]
-
A.
DC DOC
chosen
DC DOC is the government agency responsible for operating the jail and correctional facilities for the District of Columbia.
-
B.
DOCCS
DOCCS is the New York State agency responsible for operating state prisons and overseeing community supervision such as parole.
-
C.
DOCO
DOCO is a mixed-use entertainment, shopping, and dining district in downtown Sacramento, California, adjacent to the Golden 1 Center.
-
D.
DCNO
DCNO is the standard abbreviation for the senior U.S. Navy leadership positions known as Deputy Chiefs of Naval Operations.
-
E.
AK DOC
AK DOC is the state agency responsible for overseeing prisons, jails, and offender rehabilitation in Alaska.
- 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_69ca828c474c8190a254d6499871eaff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39ecb700819091c1bdfa95349d36 |
completed | March 31, 2026, 3:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5b9f47cc8190a6f9fc087010ad96 |
completed | March 31, 2026, 5:29 a.m. |
Created at: March 30, 2026, 5 p.m.