Triple
T1430702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albany–Rensselaer station |
E30436
|
entity |
| Predicate | previousStationOnSite |
P4380
|
FINISHED |
| Object | older Rensselaer station buildings |
—
|
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: older Rensselaer station buildings | Statement: [Albany–Rensselaer station, previousStationOnSite, older Rensselaer station buildings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousStationOnSite Context triple: [Albany–Rensselaer station, previousStationOnSite, older Rensselaer station buildings]
-
A.
primaryStation
Indicates that one station is designated as the main or principal station associated with another entity or within a given context.
-
B.
thirdStation
Indicates that one entity is the third station in an ordered sequence or route relative to another entity.
-
C.
secondStation
Indicates that one station in a sequence or route is the second station relative to another reference point or ordering.
-
D.
formerSiteOf
chosen
Indicates that a location previously hosted or contained something (such as a structure, organization, or event) that is no longer present there.
-
E.
previousVenue
Indicates that one venue was used or occupied before another in a sequence of venues.
- 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_69a498fc69ec8190b61722bd4b67c4d2 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c500a9888190a16fbb1ec97a79c9 |
completed | March 1, 2026, 11 p.m. |
| PD | Predicate disambiguation | batch_69a4c4771c9481908ae47c959debbe77 |
completed | March 1, 2026, 10:57 p.m. |
Created at: March 1, 2026, 8 p.m.