Triple
T7268026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maryland Route 322 |
E161027
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
MD 322
MD 322 is a short state highway in Maryland that serves as a connector route in the Easton area.
|
E652896
|
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: MD 322 | Statement: [Maryland Route 322, hasAbbreviation, MD 322]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MD 322 Context triple: [Maryland Route 322, hasAbbreviation, MD 322]
-
A.
MD 32
MD 32 is a state highway in Maryland that serves as a major east–west and north–south connector through the central part of the state, linking suburbs, military installations, and key regional routes.
-
B.
MD 202
MD 202 is a state highway in Maryland that connects communities in Prince George’s County, including the area near FedExField and the Capital Beltway.
-
C.
MD 33
MD 33 is a state highway in Maryland that runs through Talbot County, connecting the town of Easton with several communities along the Miles River and Chesapeake Bay.
-
D.
MD 450
MD 450 is a state highway in Maryland that serves as an important east–west route connecting communities in the Annapolis and Washington, D.C. metropolitan areas.
-
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: MD 322 Triple: [Maryland Route 322, hasAbbreviation, MD 322]
Generated description
MD 322 is a short state highway in Maryland that serves as a connector route in the Easton area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MD 322 Target entity description: MD 322 is a short state highway in Maryland that serves as a connector route in the Easton area.
-
A.
MD 32
MD 32 is a state highway in Maryland that serves as a major east–west and north–south connector through the central part of the state, linking suburbs, military installations, and key regional routes.
-
B.
MD 202
MD 202 is a state highway in Maryland that connects communities in Prince George’s County, including the area near FedExField and the Capital Beltway.
-
C.
MD 33
MD 33 is a state highway in Maryland that runs through Talbot County, connecting the town of Easton with several communities along the Miles River and Chesapeake Bay.
-
D.
MD 450
MD 450 is a state highway in Maryland that serves as an important east–west route connecting communities in the Annapolis and Washington, D.C. metropolitan areas.
-
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_69c6885181008190b419040e22939c7c |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eae8cc288190bc3ae3c7b38980d0 |
completed | March 27, 2026, 8:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7db1e4f9c8190a23ce5a35073b7c7 |
completed | March 28, 2026, 1:43 p.m. |
| NEDg | Description generation | batch_69c7dbd350a08190aa34ada9ba8d39ce |
completed | March 28, 2026, 1:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7dc7cb2d48190a40523eb7b03a9ef |
completed | March 28, 2026, 1:49 p.m. |
Created at: March 27, 2026, 2:58 p.m.