Triple
T20301789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Line (MBTA) |
E505499
|
entity |
| Predicate | terminus |
P388
|
FINISHED |
| Object | Alewife 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: Alewife station | Statement: [Red Line (MBTA), terminus, Alewife station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alewife station Context triple: [Red Line (MBTA), terminus, Alewife station]
-
A.
Alewife station
chosen
Alewife station is a major Boston-area transit hub that serves as the northern terminus of the MBTA Red Line and a key connection point for numerous bus routes.
-
B.
Hatcher station
Hatcher station is a light rail stop on Dallas Area Rapid Transit’s Green Line serving the surrounding Dallas, Texas community.
-
C.
Waban station
Waban station is a light rail stop on Boston's MBTA Green Line located in the Waban neighborhood of Newton, Massachusetts.
-
D.
Noyes station
Noyes station is an elevated Chicago Transit Authority 'L' station on the Purple Line serving the Evanston area north of Chicago.
-
E.
Kedzie station
Kedzie station is a Chicago 'L' rapid transit stop on the Brown Line serving the city's Northwest Side.
- 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.