Triple
T25509906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MBTA Green Line main line |
E639345
|
entity |
| Predicate | isCoreSegmentOf |
P47186
|
FINISHED |
| Object | Boston Green Line network |
—
|
NE NERFINISHED |
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: Boston Green Line network | Statement: [MBTA Green Line main line, isCoreSegmentOf, Boston Green Line network]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCoreSegmentOf Context triple: [MBTA Green Line main line, isCoreSegmentOf, Boston Green Line network]
-
A.
isSpaceSegmentOf
Indicates that one spatial region or segment is a constituent part or subdivision of a larger spatial extent or segment.
-
B.
appearsInSegmentOf
Indicates that one entity occurs within, or is featured as part of, a specific segment or subsection of another entity.
-
C.
isCoreComponentOf
chosen
Indicates that something is an essential, foundational part required for the structure, function, or identity of another entity.
-
D.
isCoreRange
Indicates that a specified range represents the primary or central portion of something, as opposed to peripheral or extended ranges.
-
E.
hasSegmentOn
Indicates that one entity includes or occupies a specific segment or portion on another entity (such as a line, path, or sequence).
- 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_69e75dbd09308190b6b5f0afdc12ec6d |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f809726081908ae4122cd4e581c1 |
completed | May 2, 2026, 1:11 p.m. |
| PD | Predicate disambiguation | batch_69f468421ba08190880eac99135e5970 |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 21, 2026, 2:48 p.m.