Triple
T24705135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bridgewater station |
E611867
|
entity |
| Predicate | isWithinCommuterRailNetworkOf |
P114693
|
FINISHED |
| Object | Greater Boston |
—
|
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: Greater Boston | Statement: [Bridgewater station, isWithinCommuterRailNetworkOf, Greater Boston]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isWithinCommuterRailNetworkOf Context triple: [Bridgewater station, isWithinCommuterRailNetworkOf, Greater Boston]
-
A.
isSuburbanRailIn
chosen
Indicates that a suburban rail service or line operates within or belongs to a specified geographic area or region.
-
B.
isCommuterRegionFor
Indicates that one region primarily serves as a residential base whose inhabitants regularly travel to another region for work or daily activities.
-
C.
servesCommuterRailLine
Indicates that a location or facility provides access to and is a stop or station for a commuter rail line.
-
D.
nearCommuterRailStation
Indicates that one entity is located close to, or within a short walking distance of, a commuter rail station.
-
E.
commuterRailMode
Indicates that the relationship involves travel or transportation specifically by commuter rail as the mode of transit between the related entities.
- F. None of above.
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_69e2c4d9c24c8190a3712d74327f0c6e |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f410fe3b848190ae296a29f742ee30 |
completed | May 1, 2026, 2:33 a.m. |
| PD | Predicate disambiguation | batch_69f40ee8ada8819089a7016b50308ff0 |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 3:23 a.m.