Triple
T3722791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yellow Line (CTA) |
E81677
|
entity |
| Predicate | rebrandedAsYellowLine |
P51445
|
FINISHED |
| Object | 1993 |
—
|
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: 1993 | Statement: [Yellow Line (CTA), rebrandedAsYellowLine, 1993]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rebrandedAsYellowLine Context triple: [Yellow Line (CTA), rebrandedAsYellowLine, 1993]
-
A.
reopenedAsYellowLine
Indicates that something previously closed or inactive has been opened again and is now designated or operating as the Yellow Line.
-
B.
followingStationOnYellowLine
Indicates that one station is the next station in sequence after another on the Yellow Line.
-
C.
bronxLine
Indicates a relationship where something is part of, associated with, or runs along the Bronx transit or route line.
-
D.
Purple Line Express
Indicates a transportation service or route designated as the "Purple Line" that operates with express (limited-stop) service between locations.
-
E.
precedingStationOnYellowLine
Indicates that one station is immediately before another station along the Yellow Line in the direction of travel.
- 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_69ad8b1b7ef081908d2d381bbf54985a |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adca9ea1688190b3b8414d77960e8f |
completed | March 8, 2026, 7:14 p.m. |
| PD | Predicate disambiguation | batch_69adc0436e508190909ec4a3e8443aef |
completed | March 8, 2026, 6:30 p.m. |
| PDg | Predicate description generation | batch_69adc48ec1a081909af0ff9f267c0ffe |
completed | March 8, 2026, 6:48 p.m. |
Created at: March 8, 2026, 3:34 p.m.