Triple
T6256320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clark/Lake station |
E140174
|
entity |
| Predicate | providesTransferBetween |
P34164
|
FINISHED |
| Object | Blue Line and Loop elevated lines |
—
|
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: Blue Line and Loop elevated lines | Statement: [Clark/Lake station, providesTransferBetween, Blue Line and Loop elevated lines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: providesTransferBetween Context triple: [Clark/Lake station, providesTransferBetween, Blue Line and Loop elevated lines]
-
A.
allowsTransferTo
Indicates that one entity permits or enables the transfer of something (such as rights, funds, or data) to another specified entity.
-
B.
transfersAvailableAt
chosen
Indicates that one entity offers or supports the ability to transfer to another service, route, or mode at a specified location or context.
-
C.
transferType
Indicates the specific method or category of how something is transferred from one entity to another.
-
D.
hasTransfer
Indicates a relationship where something is moved or conveyed from one entity or location to another.
-
E.
transferMode
Indicates the method or mechanism by which something is transferred from one entity to another.
- 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_69c008b4858c819095b0199114a9a87b |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063653910819095f1dc3b90ce77db |
completed | March 22, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69c05605566c81908e197f5accd072d2 |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:24 p.m.