Triple
T11268082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Diego Metropolitan Transit System |
E266739
|
entity |
| Predicate | fareSystem |
P395
|
FINISHED |
| Object | Pronto |
E381796
|
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: Pronto | Statement: [San Diego Metropolitan Transit System, fareSystem, Pronto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pronto Context triple: [San Diego Metropolitan Transit System, fareSystem, Pronto]
-
A.
Pronto
Pronto is a crime novel by Elmore Leonard that introduces the character U.S. Marshal Raylan Givens in a fast-paced story of mobsters, hitmen, and a bookie on the run.
-
B.
PRONTO
chosen
PRONTO is a contactless, account-based fare payment system used for public transit services in San Diego County, California.
-
C.
Rapido
Rapido is an Indian app-based bike taxi and logistics platform that offers affordable two-wheeler rides and deliveries in urban areas.
-
D.
On Call
"On Call" is a collection of essays by poet and activist June Jordan that blends personal narrative with incisive commentary on race, gender, politics, and social justice.
-
E.
Toinette
Toinette is the sharp-witted, outspoken maid in Molière’s comedy "Le Malade imaginaire," known for her clever schemes and satirical commentary on her hypochondriac master.
- 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_69d6aac8c2f48190ad0596f1f89f0470 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e94f60d48190bc925c3cb88641a8 |
completed | April 9, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4ccd52c20819093e03bba2fd359b7 |
completed | April 19, 2026, 12:38 p.m. |
Created at: April 8, 2026, 9:31 p.m.