Triple
T17444821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | QLine |
E424753
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Midtown Detroit |
—
|
NE NERFINISHED |
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: Midtown Detroit | Statement: [QLine, serves, Midtown Detroit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Midtown Detroit Context triple: [QLine, serves, Midtown Detroit]
-
A.
Midtown Detroit
chosen
Midtown Detroit is a central cultural and educational district in Detroit, Michigan, known for its museums, universities, and historic architecture.
-
B.
Downtown Detroit
Downtown Detroit is the central business district and cultural core of Detroit, Michigan, known for its skyscrapers, sports arenas, theaters, and revitalized riverfront.
-
C.
Southfield
Southfield is a small village located within the rural town of New Marlborough in Berkshire County, Massachusetts.
-
D.
Southfield
Southfield is a suburban city in Oakland County, Michigan, known as a major commercial and business center in the Detroit metropolitan area.
-
E.
Dearborn Heights, Michigan
Dearborn Heights, Michigan is a suburban city in the Detroit metropolitan area known for its residential neighborhoods, diverse population, and proximity to major regional employers and amenities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e44ffa2d84819086474649eba1065c |
completed | April 19, 2026, 3:46 a.m. |
Created at: April 10, 2026, 5:47 a.m.