Triple
T23931495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greenwich, Massachusetts |
E602509
|
entity |
| Predicate | hadRailStation |
P89322
|
FINISHED |
| Object | Greenwich 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: Greenwich station | Statement: [Greenwich, Massachusetts, hadRailStation, Greenwich station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadRailStation Context triple: [Greenwich, Massachusetts, hadRailStation, Greenwich station]
-
A.
hadRailwayStation
chosen
Indicates that a place or area previously possessed a railway station, which may no longer be in existence or operation.
-
B.
hasRailStation
Indicates that one entity possesses, contains, or is served by a rail station.
-
C.
hasRailwayStation
Indicates that a place or location is served by, or contains, a railway station.
-
D.
hasHeritageRailwayStation
Indicates that an entity possesses or is associated with a railway station that is preserved or operated as a heritage or historical railway facility.
-
E.
hasRailwayStationRole
Indicates that an entity holds or is assigned a specific functional role or capacity within the operation or management of a railway station.
- 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_69e2953b928c819095395fa87baca583 |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1cf9c223881908e5fa4b5564848e6 |
completed | April 29, 2026, 9:30 a.m. |
| PD | Predicate disambiguation | batch_69f16151ebdc819086e9e1d7cc1f4f3c |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:58 p.m.