Triple
T35448315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boston, Massachusetts (via Downeaster) |
E1024547
|
entity |
| Predicate | originOrDestinationRole |
P206988
|
FINISHED |
| Object | endpoint |
—
|
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: endpoint | Statement: [Boston, Massachusetts (via Downeaster), originOrDestinationRole, endpoint]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originOrDestinationRole Context triple: [Boston, Massachusetts (via Downeaster), originOrDestinationRole, endpoint]
-
A.
originatesAs
Indicates that one entity begins, arises, or comes into existence in the form, state, or role specified by another entity.
-
B.
orderOrRole
Indicates the hierarchical position, sequence, or functional role that one entity holds relative to others within a structured context.
-
C.
originalDestination
Indicates the initial or intended destination associated with an entity before any changes, rerouting, or redirection occur.
-
D.
targetRole
Indicates the specific role or function that an entity is intended or designated to fulfill in a given context.
-
E.
directionalRole
Indicates a role or function defined in terms of a direction or orientation relative to another entity or reference frame.
- F. None of above. chosen
Provenance (4 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_69f76df8089481909f0018266ee881b7 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0324d08190ac5b610cc0f6a38c |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82179081908325a59b8539b3a8 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:04 p.m.