Triple
T15877267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CTA Yellow Line |
E384981
|
entity |
| Predicate | originalName |
P65
|
FINISHED |
| Object | Skokie Swift |
E104945
|
NE 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: Skokie Swift | Statement: [CTA Yellow Line, originalName, Skokie Swift]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skokie Swift Context triple: [CTA Yellow Line, originalName, Skokie Swift]
-
A.
Skokie Swift
chosen
Skokie Swift is the former name of the Chicago Transit Authority’s Yellow Line rapid transit service connecting Chicago with the suburb of Skokie.
-
B.
Rapids
Rapids is the nickname of the Colorado Rapids, a professional Major League Soccer team based in the Denver metropolitan area.
-
C.
Wingfoot
Wingfoot is an alternate name for Strider, the ranger identity of Aragorn in J.R.R. Tolkien’s The Lord of the Rings.
-
D.
The Rapids
The Rapids is a fast-moving river ride attraction at Aquaventure Waterpark featuring strong currents, waves, and rapids that carry guests along a thrilling water course.
-
E.
The Cobb
The Cobb is a historic stone harbor wall and breakwater in Lyme Regis, England, famed for its role in protecting the town and for its appearances in literature and film.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e155fec9d4819081efea504e1e3952 |
completed | April 16, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb043b6d48190bf9a36a3e00403c0 |
completed | May 9, 2026, 10:08 p.m. |
Created at: April 10, 2026, 4:51 a.m.