Triple
T95028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chicago Transit Authority |
E1910
|
entity |
| Predicate | powerSupply |
P1048
|
FINISHED |
| Object | third rail electrification |
—
|
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: third rail electrification | Statement: [Chicago Transit Authority, powerSupply, third rail electrification]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: powerSupply Context triple: [Chicago Transit Authority, powerSupply, third rail electrification]
-
A.
hasPower
Indicates that one entity possesses authority, control, or influence over another entity or over a particular domain or resource.
-
B.
partOfSystem
Indicates that one entity functions as a component or subsystem within the structure or organization of another entity.
-
C.
usesElectricityStandard
chosen
Indicates that one entity operates according to, or is compatible with, the electricity supply standard defined or used by another entity.
-
D.
system
Indicates that an entity functions as or belongs to a structured, organized set of components or processes that operate together as a system.
-
E.
support
Indicates that one entity provides assistance, endorsement, or backing to another entity or its actions.
- 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_69a24d4862f881908cc8b89d3a78031d |
completed | Feb. 28, 2026, 2:04 a.m. |
| NER | Named-entity recognition | batch_69a24feef1b08190bb9525f71cce053e |
completed | Feb. 28, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69a24ebb3da08190a8b82564f33cde3b |
completed | Feb. 28, 2026, 2:11 a.m. |
Created at: Feb. 28, 2026, 2:09 a.m.