Triple
T2383529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green Line (MBTA) |
E46364
|
entity |
| Predicate | terminus |
P388
|
FINISHED |
| Object | Riverside station |
E51103
|
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: Riverside station | Statement: [Green Line (MBTA), terminus, Riverside station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Riverside station Context triple: [Green Line (MBTA), terminus, Riverside station]
-
A.
Riverside station
chosen
Riverside station is a major Massachusetts Bay Transportation Authority light rail station and park-and-ride hub located in Newton, Massachusetts.
-
B.
Palo Alto station
Palo Alto station is a major commuter rail stop in Palo Alto, California, serving as a key hub on the Caltrain line between San Francisco and San Jose.
-
C.
Bayside station
Bayside station is a Long Island Rail Road commuter rail stop in the Bayside neighborhood of Queens, New York City.
-
D.
Edgewood station
Edgewood station is a commuter rail stop in Edgewood, Maryland, served by MARC’s Penn Line between Baltimore and Perryville.
-
E.
Atherton station
Atherton station is a commuter rail stop in Atherton, California, serving Caltrain passengers on the San Francisco Peninsula.
- 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_69a88a1554a48190a0180682bcf099be |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abc7bafa248190a68e8f1e081f4817 |
completed | March 7, 2026, 6:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1de74f20881909e69b7fba1c4abaa |
completed | March 11, 2026, 9:28 p.m. |
Created at: March 4, 2026, 7:57 p.m.