Triple
T16029605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cambridge bus network |
E388808
|
entity |
| Predicate | fareMediaAccepted |
P1303
|
FINISHED |
| Object | CharlieCard |
E3327
|
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: CharlieCard | Statement: [Cambridge bus network, fareMediaAccepted, CharlieCard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CharlieCard Context triple: [Cambridge bus network, fareMediaAccepted, CharlieCard]
-
A.
CharlieCard
chosen
The CharlieCard is a reusable contactless smart card used to pay fares on Boston's MBTA public transit system.
-
B.
ConnectCard
ConnectCard is a reusable smart fare card used by Pittsburgh Regional Transit riders to pay for public transportation across the Pittsburgh area.
-
C.
CharmCard
CharmCard is a contactless smart fare card used for paying transit fares across the Maryland Transit Administration’s bus, rail, and other public transportation services.
-
D.
Card
Card is a surname most notably borne by Andrew Card, a former White House Chief of Staff under U.S. President George W. Bush.
-
E.
Card Gym
Card Gym is an athletic facility on Duke University's West Campus used primarily for physical education, recreation, and sports activities.
- 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1832a56ec8190a47fd2cf83a42fd4 |
completed | April 17, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf35ae808190aeb154a273c32a70 |
completed | May 10, 2026, 12:20 a.m. |
Created at: April 10, 2026, 4:56 a.m.