Triple
T6682375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hudson station |
E152013
|
entity |
| Predicate | servedBy |
P82
|
FINISHED |
| Object | Maple Leaf |
E56056
|
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: Maple Leaf | Statement: [Hudson station, servedBy, Maple Leaf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maple Leaf Context triple: [Hudson station, servedBy, Maple Leaf]
-
A.
Maple Leaf
chosen
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.
The Maple Leaf Forever
"The Maple Leaf Forever" is a 19th-century patriotic song that long served as an unofficial national anthem of Canada, celebrating the country's British heritage.
-
D.
O Canada
"O Canada" is the national anthem of Canada, widely performed at official events and international sporting competitions.
-
E.
Blitzen
Blitzen is one of Santa Claus's legendary flying reindeer, traditionally depicted as helping pull his sleigh on Christmas Eve.
- 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_69c687f9977c819097e7f5ada4fe522e |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b1214f648190849c655b1e52d473 |
completed | March 27, 2026, 4:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f7ac6714819081966dea66b590c1 |
completed | March 27, 2026, 9:33 p.m. |
Created at: March 27, 2026, 2:04 p.m.