Triple
T17444826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | QLine |
E424753
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object | M-1 RAIL |
—
|
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: M-1 RAIL | Statement: [QLine, operator, M-1 RAIL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: M-1 RAIL Context triple: [QLine, operator, M-1 RAIL]
-
A.
M-1 RAIL
chosen
M-1 RAIL is the private consortium that operates and manages Detroit’s QLine streetcar system.
-
B.
M-13
M-13 is a state highway in Michigan that runs through the Saginaw Bay region, connecting communities such as Essexville with the broader state road network.
-
C.
M-14
M-14 is a state highway in southeastern Michigan that serves as a major commuter route connecting Ann Arbor with the western suburbs of the Detroit metropolitan area.
-
D.
M1A line
The M1A line is a major rapid transit route in the Istanbul Metro system that connects central Istanbul with Atatürk Airport and several key western districts.
-
E.
M-10
M-10 is a major state highway in Michigan, commonly known as the Lodge Freeway, that serves as a key north–south route through the Detroit metropolitan area.
- 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.