Triple
T12077119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boston and Albany Railroad commuter rail station |
E287578
|
entity |
| Predicate | platformAccess |
P53877
|
FINISHED |
| Object | at‑grade |
—
|
LITERAL 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: at‑grade | Statement: [Boston and Albany Railroad commuter rail station, platformAccess, at‑grade]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: platformAccess Context triple: [Boston and Albany Railroad commuter rail station, platformAccess, at‑grade]
-
A.
accessToPlatforms
Indicates that one entity is able to use, reach, or interact with certain platforms provided or controlled by another entity.
-
B.
platformMate
Indicates that two entities are located on the same platform or share the same platform context at a given time.
-
C.
platformUsedFor
Indicates that one entity serves as the platform, medium, or environment utilized to perform, host, or support the activities of another entity.
-
D.
platformUsed
Indicates that an action, event, or interaction was carried out using a particular platform (e.g., software, service, or system) as the medium or tool.
-
E.
platformStatus
chosen
Indicates the current operational or availability state of a platform within a system or service context.
- 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_69d6ab4846e081908ee7bbd66a6d3459 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9100b4ca8819084845ca4c13e34ce |
completed | April 10, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69d902bf4f508190842927e7e0642235 |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:48 p.m.