Triple
T191901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chicago Rapid Transit Company |
E3738
|
entity |
| Predicate | electrificationSystem |
P5320
|
FINISHED |
| Object | third 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: third rail | Statement: [Chicago Rapid Transit Company, electrificationSystem, third rail]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electrificationSystem Context triple: [Chicago Rapid Transit Company, electrificationSystem, third rail]
-
A.
electrification
Indicates the process or state of providing electrical power or converting something to operate using electricity.
-
B.
hasElectricCharge
Indicates that an entity possesses a nonzero electric charge as a physical property.
-
C.
usesElectricityStandard
Indicates that one entity operates according to, or is compatible with, the electricity supply standard defined or used by another entity.
-
D.
usesElectricityVoltage
Indicates that one entity operates using or is characterized by a specified level of electrical voltage supplied by another entity or source.
-
E.
isMechanicalOrElectronic
Indicates that something operates using mechanical components, electronic components, or a combination of both.
- F. None of above. chosen
Provenance (4 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_69a2548debd48190ae3a06d6e65b53c6 |
completed | Feb. 28, 2026, 2:35 a.m. |
| NER | Named-entity recognition | batch_69a259669ba08190a5be1d2e10e70b27 |
completed | Feb. 28, 2026, 2:56 a.m. |
| PD | Predicate disambiguation | batch_69a2567567508190b3a41329a15c7156 |
completed | Feb. 28, 2026, 2:44 a.m. |
| PDg | Predicate description generation | batch_69a25710bdfc81909b6697159104cf53 |
completed | Feb. 28, 2026, 2:46 a.m. |
Created at: Feb. 28, 2026, 2:41 a.m.