Triple
T1430707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albany–Rensselaer station |
E30436
|
entity |
| Predicate | connectsMode |
P3332
|
FINISHED |
| Object | intercity rail |
—
|
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: intercity rail | Statement: [Albany–Rensselaer station, connectsMode, intercity rail]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectsMode Context triple: [Albany–Rensselaer station, connectsMode, intercity rail]
-
A.
connectsTo
Indicates a relationship where one entity is linked or joined to another, allowing interaction, communication, or transfer between them.
-
B.
connectionEstablishmentMethod
Indicates the method or mechanism by which a connection between entities is initiated or established.
-
C.
connectsDeviceType
Indicates a relationship where one entity is associated with or linked to a specific type or category of device.
-
D.
communicationMode
chosen
Indicates the method or channel through which communication between entities is carried out.
-
E.
connectorType
Indicates the specific kind or category of connection interface that links two 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_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.