Triple
T21298941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ravenna |
E525002
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Maple Leaf |
—
|
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: Maple Leaf | Statement: [Ravenna, adjacentTo, Maple Leaf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maple Leaf Context triple: [Ravenna, adjacentTo, Maple Leaf]
-
A.
Maple Leaf
Maple Leaf is an Amtrak intercity passenger train service that operates between New York City and Toronto, connecting major cities in New York State with southern Ontario.
-
B.
Maple Leaf
The Maple Leaf is a widely recognized emblem of Canada, prominently featured on its national flag and associated with Canadian identity and heritage.
-
C.
Maple Leaf
chosen
Maple Leaf is a primarily residential neighborhood in North Seattle known for its quiet streets, family-friendly atmosphere, and views of the city and mountains.
-
D.
Maple Leaf, Toronto
Maple Leaf is a residential neighbourhood in the northwestern part of Toronto, Ontario, known for its diverse community and mix of low-rise homes and local businesses.
-
E.
The Red Maple Leaf
The Red Maple Leaf is a 2016 Canadian-American crime thriller film written, directed by, and starring Frank D'Angelo, featuring Anne Archer in a supporting role.
- 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_69e0b517e6748190850d6f6ddf323d69 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7385a24d08190bfd410c7f10fa6f7 |
completed | April 21, 2026, 8:42 a.m. |
Created at: April 16, 2026, 4:05 p.m.