Triple
T15748724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pronto card |
E381789
|
entity |
| Predicate | topUpMethod |
P5266
|
FINISHED |
| Object | MTS Transit Store |
E381786
|
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: MTS Transit Store | Statement: [Pronto card, topUpMethod, MTS Transit Store]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MTS Transit Store Context triple: [Pronto card, topUpMethod, MTS Transit Store]
-
A.
MTS
chosen
MTS is a public transportation agency that operates bus and rail services in the San Diego metropolitan area of California.
-
B.
MTS
MTS is the three-letter National Rail station code for Montrose railway station in Angus, Scotland.
-
C.
MTS
MTS was a Canadian telecommunications company that provided phone, internet, and related services, primarily in Manitoba, before being acquired and rebranded as Bell MTS.
-
D.
MTS Bus
MTS Bus is the fixed-route public bus service operated by the San Diego Metropolitan Transit System, providing local and regional transportation across the San Diego area.
-
E.
MTA
MTA is the commonly used abbreviation for the Maryland Transit Administration, the state agency that operates public transportation services in and around Baltimore, Maryland.
- 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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0502fd3608190b42e647b9c2b41a1 |
completed | April 16, 2026, 2:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff830b85408190b9ae4d6752524b99 |
completed | May 9, 2026, 6:55 p.m. |
Created at: April 10, 2026, 4:46 a.m.