Triple
T2290551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crystal City station (Washington Metro) |
E51491
|
entity |
| Predicate | lineCodeYellow |
P19896
|
FINISHED |
| Object | C |
—
|
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: C | Statement: [Crystal City station (Washington Metro), lineCodeYellow, C]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lineCodeYellow Context triple: [Crystal City station (Washington Metro), lineCodeYellow, C]
-
A.
mapColorYellowLine
Indicates that a map feature is represented or highlighted using a yellow line.
-
B.
usesLineCode
chosen
Indicates that one entity employs or references a specific line code as part of its operation, identification, or communication.
-
C.
reopenedAsYellowLine
Indicates that something previously closed or inactive has been opened again and is now designated or operating as the Yellow Line.
-
D.
lineStandard
Indicates that one entity is a standard or reference specification that defines or governs the characteristics or requirements of a particular line (such as a product line, production line, or service line).
-
E.
lineElement
Indicates a relationship where something functions as, or is identified as, an element or segment of a line within a larger linear structure or representation.
- 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_69a88b09c644819090b503456d96bf70 |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc27536588190a74731b5537c90ee |
completed | March 7, 2026, 6:15 a.m. |
| PD | Predicate disambiguation | batch_69abbdbc8bcc8190a183481d766965a4 |
completed | March 7, 2026, 5:55 a.m. |
Created at: March 4, 2026, 7:48 p.m.