Triple
T4256490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Caesars Arena |
E95985
|
entity |
| Predicate | publicTransitAccess |
P1288
|
FINISHED |
| Object | QLine |
E424753
|
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: QLine | Statement: [Little Caesars Arena, publicTransitAccess, QLine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: QLine Context triple: [Little Caesars Arena, publicTransitAccess, QLine]
-
A.
QLine
chosen
QLine is a modern streetcar system serving downtown and Midtown Detroit, Michigan.
-
B.
Q line
The Q line is a New York City Subway service that runs along the BMT Brighton Line in Brooklyn and through Manhattan, connecting neighborhoods like Coney Island and Midtown.
-
C.
Circle line
The Circle line is a central London Underground route forming a loop through key districts and interchanges in the city’s transport network.
-
D.
K-lines
K-lines are a cognitive theory construct proposed by Marvin Minsky in "The Society of Mind," representing memory traces that, when activated, re-evoke networks of mental agents involved in past problem-solving.
-
E.
C line
The C line is a route within Copenhagen’s S-train suburban rail network, providing frequent commuter service between central Copenhagen and its outlying districts.
- 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_69b3454095ac81909c2494f7ff294af1 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34ec1971c81908f7a72418efa8bcc |
completed | March 12, 2026, 11:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5b78422a88190a67921ee38638ac8 |
completed | March 14, 2026, 7:31 p.m. |
Created at: March 12, 2026, 11:06 p.m.