Triple
T1449965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baltimore Metro SubwayLink |
E31267
|
entity |
| Predicate | initialSegmentOpened |
P20181
|
FINISHED |
| Object | Reisterstown Plaza to Charles Center |
—
|
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: Reisterstown Plaza to Charles Center | Statement: [Baltimore Metro SubwayLink, initialSegmentOpened, Reisterstown Plaza to Charles Center]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: initialSegmentOpened Context triple: [Baltimore Metro SubwayLink, initialSegmentOpened, Reisterstown Plaza to Charles Center]
-
A.
openedSegment
Indicates that one entity has initiated or created a new segment, section, or interval within another entity or process.
-
B.
firstSectionOpened
chosen
Indicates that the initial section in a sequence or structure has been opened or activated.
-
C.
initialOpening
Indicates the first or earliest instance in which something is opened, begun, or made accessible.
-
D.
formsInitialSegmentOf
Indicates that one entity constitutes the starting portion or beginning segment of another, larger entity or sequence.
-
E.
firstLineOpened
Indicates that the first line of something (e.g., a document, file, or text block) has been opened or accessed.
- 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_69a499171a28819085b993a3ac78e363 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c55d923c8190957756f834f94462 |
completed | March 1, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69a4c47a840c819083307a65c027a19e |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8 p.m.