Triple
T14836681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frederick City Hall |
E348849
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object | City of Frederick |
E41694
|
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: City of Frederick | Statement: [Frederick City Hall, operator, City of Frederick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City of Frederick Context triple: [Frederick City Hall, operator, City of Frederick]
-
A.
Frederick, Maryland
chosen
Frederick, Maryland is a historic city in western Maryland known for its vibrant downtown, Civil War heritage, and role as a regional hub for government and biomedical research.
-
B.
Hagerstown, Maryland
Hagerstown, Maryland is a city in western Maryland known as a regional hub near key Civil War sites and transportation routes.
-
C.
Mount Airy
Mount Airy is a small town in northeastern Georgia, United States, known for its rural character and location in the foothills of the Blue Ridge Mountains.
-
D.
Mount Airy
Mount Airy is a historic, leafy residential neighborhood in northwest Philadelphia known for its diversity, charming rowhouses, and vibrant local business corridors.
-
E.
Bladensburg, Maryland
Bladensburg, Maryland is a small historic town in the Washington, D.C. metropolitan area known for its role in the War of 1812 and its location along the Anacostia River.
- 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_69d822ec69008190a9232caa68836872 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded28d0ddc8190a34e3e2d469ab762 |
completed | April 14, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b4b31a48190a3b60f02b581fbd2 |
completed | May 8, 2026, 11:01 p.m. |
Created at: April 10, 2026, 1:52 a.m.