Triple
T1653137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Causeway Street |
E35737
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | North Station rail terminal |
E2878
|
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: North Station rail terminal | Statement: [Causeway Street, adjacentTo, North Station rail terminal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: North Station rail terminal Context triple: [Causeway Street, adjacentTo, North Station rail terminal]
-
A.
North Station
chosen
North Station is a major transportation hub in Boston, Massachusetts, serving as a key commuter rail, subway, and intercity bus terminal integrated with the TD Garden arena.
-
B.
Airport North Station
Airport North Station is a Guangzhou Metro station serving the northern area of Guangzhou Baiyun International Airport.
-
C.
South Station
South Station is Boston’s major intercity rail and bus terminal and a key MBTA subway hub in the city’s downtown.
-
D.
Back Bay station
Back Bay station is a major transportation hub in Boston, Massachusetts, serving MBTA commuter rail, Amtrak, and subway lines in the Back Bay neighborhood.
-
E.
Airport South Station
Airport South Station is a Guangzhou Metro station serving Guangzhou Baiyun International Airport’s southern terminal area.
- 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_69a8860568888190a32cd9f70acbba42 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90a8a080c8190b6913d6830d74526 |
completed | March 5, 2026, 4:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6adefc088190b1c6173c4be1d5a2 |
completed | March 9, 2026, 6:38 a.m. |
Created at: March 4, 2026, 7:29 p.m.