Triple
T3710149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North County Transit District |
E80989
|
entity |
| Predicate | usesFareSystem |
P395
|
FINISHED |
| Object |
PRONTO
PRONTO is a contactless, account-based fare payment system used for public transit services in San Diego County, California.
|
E381796
|
NE FINISHED |
How this triple was built (4 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: [North County Transit District, usesFareSystem, PRONTO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PRONTO Context triple: [North County Transit District, usesFareSystem, 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.
Hurry
"Hurry" is a song by Teyana Taylor from her 2018 R&B album *K.T.S.E.*.
-
C.
Ready and Forward
Ready and Forward is the official motto of the 26th Marine Expeditionary Unit, reflecting its emphasis on rapid readiness and forward deployment.
-
D.
Prostki
Prostki is a village in northeastern Poland, known for its historical significance and location within the Warmian-Masurian Voivodeship.
-
E.
Presto
Presto is a discontinued proprietary browser engine developed by Opera Software that powered older versions of the Opera web browser.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: PRONTO Triple: [North County Transit District, usesFareSystem, PRONTO]
Generated description
PRONTO is a contactless, account-based fare payment system used for public transit services in San Diego County, California.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: PRONTO Target entity description: PRONTO is a contactless, account-based fare payment system used for public transit services in San Diego County, California.
-
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.
Hurry
"Hurry" is a song by Teyana Taylor from her 2018 R&B album *K.T.S.E.*.
-
C.
Ready and Forward
Ready and Forward is the official motto of the 26th Marine Expeditionary Unit, reflecting its emphasis on rapid readiness and forward deployment.
-
D.
Prostki
Prostki is a village in northeastern Poland, known for its historical significance and location within the Warmian-Masurian Voivodeship.
-
E.
Presto
Presto is a discontinued proprietary browser engine developed by Opera Software that powered older versions of the Opera web browser.
- F. None of above. chosen
Provenance (5 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_69ad8b1793888190a5f70e4b21dc05a1 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adc584b86c8190ba1a1073da440b07 |
completed | March 8, 2026, 6:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4ce052660819089ad899a20b8a720 |
completed | March 14, 2026, 2:55 a.m. |
| NEDg | Description generation | batch_69b4cf85b968819085dad34a80767984 |
completed | March 14, 2026, 3:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4cfecf2bc8190afb3bd8ebfd3cc64 |
completed | March 14, 2026, 3:03 a.m. |
Created at: March 8, 2026, 3:33 p.m.