Triple
T3543601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CTA Blue Line |
E74942
|
entity |
| Predicate | oneOfFewLinesWith24HourServiceInSystem |
P48785
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [CTA Blue Line, oneOfFewLinesWith24HourServiceInSystem, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oneOfFewLinesWith24HourServiceInSystem Context triple: [CTA Blue Line, oneOfFewLinesWith24HourServiceInSystem, true]
-
A.
lineServed
Indicates that a particular transportation line (such as a bus, train, or metro line) provides service to or is operated at a given stop, station, or route segment.
-
B.
rushHourServicePattern
Indicates that a service operates according to a specific pattern or schedule that applies only during rush-hour or peak travel times.
-
C.
transportationServedBy
Indicates that a transportation facility, route, or area is provided service or coverage by a specific transportation provider or mode.
-
D.
hasSingleRiderLine
Indicates that a ride or attraction offers a dedicated line for solo riders, separate from the regular queue.
-
E.
hasShuttleLine
Indicates that there is a shuttle service or route operating between the related entities.
- 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_69ad85d274cc8190ab59c97298a1cfbf |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbf752dd481909226044ffe595338 |
completed | March 8, 2026, 6:27 p.m. |
| PD | Predicate disambiguation | batch_69adae15749881909b847c6ca73c934e |
completed | March 8, 2026, 5:12 p.m. |
| PDg | Predicate description generation | batch_69adb0a11a1c8190baa8c0eb87ad259a |
completed | March 8, 2026, 5:23 p.m. |
Created at: March 8, 2026, 3:20 p.m.