Triple
T10192921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen Lane station |
E238082
|
entity |
| Predicate | locatedInNeighborhood |
P40
|
FINISHED |
| Object | Germantown |
E104997
|
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: [Queen Lane station, locatedInNeighborhood, Germantown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Germantown Context triple: [Queen Lane station, locatedInNeighborhood, Germantown]
-
A.
Germantown
Germantown is a residential neighborhood within the city of Quincy, Massachusetts.
-
B.
Germantown
Germantown is a small hamlet and census-designated place in Columbia County, New York, situated along the Hudson River in the Hudson Valley region.
-
C.
Germantown
Germantown is a suburban village in southeastern Wisconsin known for its residential communities and proximity to the Milwaukee metropolitan area.
-
D.
Germantown, Pennsylvania
chosen
Germantown, Pennsylvania is a historic neighborhood in northwest Philadelphia known for its colonial-era sites and role in early American history.
-
E.
Germantown, Maryland
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.
- 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_69ca84de1b208190bf17bb305b002605 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdedc675008190b8248325f5a208bf |
completed | April 2, 2026, 4:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d317ca2cf481909cf715ef9248be3c |
completed | April 6, 2026, 2:17 a.m. |
Created at: March 30, 2026, 9:13 p.m.