Triple
T8292560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MBTA Commuter Rail fare zones |
E193934
|
entity |
| Predicate | Zone1AIncludes |
P69645
|
FINISHED |
| Object | inner core commuter rail stations |
—
|
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: inner core commuter rail stations | Statement: [MBTA Commuter Rail fare zones, Zone1AIncludes, inner core commuter rail stations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Zone1AIncludes Context triple: [MBTA Commuter Rail fare zones, Zone1AIncludes, inner core commuter rail stations]
-
A.
zonedTo
Indicates that one entity is assigned or designated to fall within the jurisdiction, service area, or regulatory zone of another entity.
-
B.
zone
Indicates that an entity is located within, associated with, or assigned to a particular geographic or conceptual area or zone.
-
C.
fareZoneIncludes
chosen
Indicates that a specified fare zone geographically or logically contains a given location, stop, or segment for fare calculation purposes.
-
D.
hasZone
Indicates that one entity possesses, contains, or is associated with a specific zone or designated area.
-
E.
qualifyingZones
Indicates that certain areas or regions meet specified criteria or conditions required for a particular status, activity, or classification.
- 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_69ca82e32db481908b72f3804fa71152 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7c9ccbfc81908825685c23b80d23 |
completed | March 31, 2026, 7:49 a.m. |
| PD | Predicate disambiguation | batch_69cb70b5b5348190b296e0ecec95de60 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 5:52 p.m.