Triple
T1663412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MBTA bus route 28 |
E35958
|
entity |
| Predicate | hasRelativeRidershipLevel |
P8174
|
FINISHED |
| Object | one of the highest-ridership MBTA bus routes |
—
|
LITERAL 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: one of the highest-ridership MBTA bus routes | Statement: [MBTA bus route 28, hasRelativeRidershipLevel, one of the highest-ridership MBTA bus routes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRelativeRidershipLevel Context triple: [MBTA bus route 28, hasRelativeRidershipLevel, one of the highest-ridership MBTA bus routes]
-
A.
hasPublicTransitServiceLevel
Indicates the level or quality of public transit service provided to or available at a given location or entity.
-
B.
annualRidership
Indicates the total number of passengers who use a transportation service over the course of one year.
-
C.
hasApproxAnnualPassengerUsageRank
chosen
Indicates the approximate position or ranking of an entity based on its annual passenger usage compared to similar entities.
-
D.
hasPublicTransportUsage
Indicates that an entity makes use of, or is associated with the use of, public transportation services.
-
E.
dailyRidership
Indicates the typical number of people who use or ride a given transportation service each day.
- F. None of above.
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_69a88606aa808190aa0b421b4271f220 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa994f92b0819084ee2f6a672334b9 |
completed | March 6, 2026, 9:07 a.m. |
| PD | Predicate disambiguation | batch_69a907d2475c8190b7ec7dccd3335eb1 |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:29 p.m.