Triple
T29285729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sullivan Square MBTA busway |
E742505
|
entity |
| Predicate | connectedMode |
P51916
|
FINISHED |
| Object | heavy rail rapid transit |
—
|
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: heavy rail rapid transit | Statement: [Sullivan Square MBTA busway, connectedMode, heavy rail rapid transit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectedMode Context triple: [Sullivan Square MBTA busway, connectedMode, heavy rail rapid transit]
-
A.
connectivityMode
Indicates how two or more entities are linked or able to communicate with each other, such as the type or method of connection used between them.
-
B.
connectsState
Indicates a relationship where one entity serves as a link or conduit between different states, conditions, or statuses of another entity.
-
C.
connectionStandard
Indicates the technical standard or protocol that defines how a connection between entities is established and operates.
-
D.
connectionTo
Indicates a relationship in which one entity is linked, associated, or otherwise related to another entity.
-
E.
connectsWithMode
chosen
Indicates a relationship where one entity connects to another using a specified method, channel, or mode of connection.
- 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_69f09121ed8c8190b4cb27be3619c262 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69fd91a5dad8819093eeeef527027890 |
completed | May 8, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69fd8f65fe9081908902500a3228d935 |
completed | May 8, 2026, 7:23 a.m. |
Created at: April 28, 2026, 12:58 p.m.