Triple
T17725747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leather District |
E442456
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | South Station |
—
|
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: South Station | Statement: [Leather District, near, South Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: South Station Context triple: [Leather District, near, South Station]
-
A.
South Station
chosen
South Station is Boston’s major intercity rail and bus terminal and a key MBTA subway hub in the city’s downtown.
-
B.
North Station
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.
-
C.
North Station
North Station is a passenger stop on Detroit Metropolitan Airport’s McNamara Terminal ExpressTram, serving travelers moving along the terminal concourse.
-
D.
MBTA South Station
MBTA South Station is Boston’s major intermodal transit hub, serving as a central terminal for commuter rail, Amtrak, subway, and bus services.
-
E.
MBTA North Station
MBTA North Station is a major Boston transportation hub that serves as a key terminal for MBTA subway and commuter rail lines as well as Amtrak services.
- 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_69d8b9ec79688190b86bdcef85a7b3aa |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47489c59c8190bbffefad20dc6346 |
completed | April 19, 2026, 6:22 a.m. |
Created at: April 10, 2026, 10:07 a.m.