Triple
T20647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chicago Transit Authority |
E409
|
entity |
| Predicate | uses |
P98
|
FINISHED |
| Object | Ventra card |
E1909
|
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: Ventra card | Statement: [Chicago Transit Authority, uses, Ventra card]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ventra card Context triple: [Chicago Transit Authority, uses, Ventra card]
-
A.
Ventra
chosen
Ventra is the contactless fare payment system used across Chicago’s public transit network, including buses and trains.
-
B.
NFC
The NFC (National Football Conference) is one of the two conferences in the National Football League, comprising 16 teams that compete for a spot in the Super Bowl.
-
C.
Coinstar
Coinstar is a company best known for its self-service coin-counting kiosks commonly found in supermarkets and retail stores.
-
D.
Portland Streetcar
Portland Streetcar is a modern urban streetcar transit system serving central Portland, Oregon, connecting key neighborhoods, employment centers, and educational institutions.
-
E.
Terminal 4
Terminal 4 is a major international passenger terminal at John F. Kennedy International Airport in New York City, serving numerous global airlines and long-haul routes.
- 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_69a240778d288190815c0052ebbbcc91 |
completed | Feb. 28, 2026, 1:10 a.m. |
| NER | Named-entity recognition | batch_69a24669427481908b3369f090ea8edc |
completed | Feb. 28, 2026, 1:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a24e57e3fc8190a3ce561a4692115c |
completed | Feb. 28, 2026, 2:09 a.m. |
Created at: Feb. 28, 2026, 1:14 a.m.