Triple
T269493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MBTA Green Line D branch |
E5598
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Reservoir station
Reservoir station is a light rail stop on Boston’s MBTA Green Line that serves the D branch near Cleveland Circle in Brookline.
|
E34906
|
NE FINISHED |
How this triple was built (4 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: Reservoir station | Statement: [MBTA Green Line D branch, hasStation, Reservoir station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reservoir station Context triple: [MBTA Green Line D branch, hasStation, Reservoir station]
-
A.
Shirley station
Shirley station is a commuter rail stop in Shirley, Massachusetts, serving passengers on the MBTA Fitchburg Line.
-
B.
Akard station
Akard station is a Dallas Area Rapid Transit (DART) light rail station serving the central business district of downtown Dallas, Texas.
-
C.
Ayer station
Ayer station is a commuter rail stop in Ayer, Massachusetts that serves as a local transit hub on the MBTA Fitchburg Line.
-
D.
Edison station
Edison station is a New Jersey Transit commuter rail stop on the Northeast Corridor Line serving the township of Edison, New Jersey.
-
E.
Cascades Station
Cascades Station is a light rail stop on Portland’s MAX Red Line serving the Cascade Station shopping and business district near Portland International Airport.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Reservoir station Triple: [MBTA Green Line D branch, hasStation, Reservoir station]
Generated description
Reservoir station is a light rail stop on Boston’s MBTA Green Line that serves the D branch near Cleveland Circle in Brookline.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Reservoir station Target entity description: Reservoir station is a light rail stop on Boston’s MBTA Green Line that serves the D branch near Cleveland Circle in Brookline.
-
A.
Shirley station
Shirley station is a commuter rail stop in Shirley, Massachusetts, serving passengers on the MBTA Fitchburg Line.
-
B.
Akard station
Akard station is a Dallas Area Rapid Transit (DART) light rail station serving the central business district of downtown Dallas, Texas.
-
C.
Ayer station
Ayer station is a commuter rail stop in Ayer, Massachusetts that serves as a local transit hub on the MBTA Fitchburg Line.
-
D.
Edison station
Edison station is a New Jersey Transit commuter rail stop on the Northeast Corridor Line serving the township of Edison, New Jersey.
-
E.
Cascades Station
Cascades Station is a light rail stop on Portland’s MAX Red Line serving the Cascade Station shopping and business district near Portland International Airport.
- F. None of above. chosen
Provenance (5 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_69a25853594c8190b05ec3a586ec88bf |
completed | Feb. 28, 2026, 2:52 a.m. |
| NER | Named-entity recognition | batch_69a25db00ed48190be6f598807265356 |
completed | Feb. 28, 2026, 3:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a38b9220f08190a94ffd00bb7425fd |
completed | March 1, 2026, 12:42 a.m. |
| NEDg | Description generation | batch_69a38cb1d5808190b548efd55de09523 |
completed | March 1, 2026, 12:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a38d10782c8190beead28963b003ab |
completed | March 1, 2026, 12:49 a.m. |
Created at: Feb. 28, 2026, 2:57 a.m.