Triple
T20301899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue Line (MBTA) |
E505501
|
entity |
| Predicate | connectsAtStation |
P21403
|
FINISHED |
| Object | State 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: State station | Statement: [Blue Line (MBTA), connectsAtStation, State station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: State station Context triple: [Blue Line (MBTA), connectsAtStation, State station]
-
A.
State station
chosen
State station is a major underground MBTA subway station in downtown Boston serving multiple lines and providing key access to the city’s financial district.
-
B.
Nation station
Nation station is a major Paris Métro and RER interchange in the 12th arrondissement, serving as an important hub for urban and suburban transit in eastern Paris.
-
C.
BC station
BC station is a light rail stop on the Massachusetts Bay Transportation Authority's Green Line serving the Boston College area in Chestnut Hill, Massachusetts.
-
D.
State/Lake station
State/Lake station is an elevated Chicago 'L' rapid transit stop in the Loop, serving multiple CTA lines in downtown Chicago.
-
E.
La Fox station
La Fox station is a commuter rail stop in La Fox, Illinois, served by Metra's Union Pacific West Line.
- 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_69e0b4b8ab648190906e18538c250148 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6770d82b48190b21ce7c52ec6d5a0 |
completed | April 20, 2026, 6:57 p.m. |
Created at: April 16, 2026, 11:17 a.m.