Triple
T19481937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PJS |
E487406
|
entity |
| Predicate | ticketingSystem |
P3383
|
FINISHED |
| Object | MTA eTix |
—
|
NE NERFINISHED |
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: MTA eTix | Statement: [PJS, ticketingSystem, MTA eTix]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MTA eTix Context triple: [PJS, ticketingSystem, MTA eTix]
-
A.
MTA eTix
chosen
MTA eTix is a mobile ticketing application that lets riders purchase and display Long Island Rail Road and Metro-North Railroad tickets on their smartphones.
-
B.
Telecharge ticketing service
Telecharge ticketing service is a major theater ticketing platform in the United States, best known for selling Broadway and off-Broadway tickets, particularly for productions in Shubert-owned venues.
-
C.
mTicket mobile app
The mTicket mobile app is a digital ticketing platform that allows riders to purchase, store, and display fares for MBTA Commuter Rail services directly on their smartphones.
-
D.
TIX
TIX is the IATA airport code for Space Coast Regional Airport, a public airport serving the Titusville area on Florida’s Space Coast.
-
E.
METRO Mobile Ticketing
METRO Mobile Ticketing is a digital fare payment app that lets riders purchase and use tickets on their smartphones for travel on the METRO local bus network.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d924388190b847cb15bb3d0aff |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6343ab16481909b508ba0a08ea191 |
completed | April 20, 2026, 2:12 p.m. |
Created at: April 10, 2026, 1:39 p.m.