Triple
T1090571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaithersburg |
E24152
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Germantown |
E140637
|
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: Germantown | Statement: [Gaithersburg, locatedNear, Germantown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Germantown Context triple: [Gaithersburg, locatedNear, Germantown]
-
A.
Germantown
Germantown is a residential neighborhood within the city of Quincy, Massachusetts.
-
B.
Germantown, Pennsylvania
Germantown, Pennsylvania is a historic neighborhood in northwest Philadelphia known for its colonial-era sites and role in early American history.
-
C.
Germantown, Maryland
chosen
Germantown, Maryland is a major suburban community in the Washington, D.C. metropolitan area known for its rapid growth, diverse population, and extensive residential and commercial development.
-
D.
Marshall Heights
Marshall Heights is a residential neighborhood in Southeast Washington, D.C., known for its hilly terrain, predominantly African American community, and ongoing revitalization efforts.
-
E.
Locust Point
Locust Point is a historic waterfront neighborhood in Baltimore known for its industrial roots, immigrant history, and views of the Inner Harbor.
- 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_69a49404428c819092dcc9632f5f7b8b |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b980c8448190b08c3a9a7e7f4e85 |
completed | March 1, 2026, 10:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac8f6969a8819091383fb1172ceeee |
completed | March 7, 2026, 8:49 p.m. |
Created at: March 1, 2026, 7:42 p.m.