Triple
T38193232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Second Avenue Subway |
E1005532
|
entity |
| Predicate | relievesLine |
P190276
|
FINISHED |
| Object | IRT Lexington Avenue Line |
—
|
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: IRT Lexington Avenue Line | Statement: [Second Avenue Subway, relievesLine, IRT Lexington Avenue Line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relievesLine Context triple: [Second Avenue Subway, relievesLine, IRT Lexington Avenue Line]
-
A.
rerLines
Indicates that one entity represents a railway or transit line that is operated, served, or defined by the other entity.
-
B.
lineReplaced
Indicates that one line has been substituted or superseded by another line, typically in a versioning, editing, or modification context.
-
C.
subLine
Indicates that one line is a subordinate or component segment of another, typically representing a part–whole or hierarchical relationship between lines.
-
D.
formedLine
Indicates that an entity has arranged itself or others into a line or linear formation.
-
E.
линия
Indicates a relationship where something is a line or forms a linear connection or boundary between points or areas.
- 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_69f76dbd22f48190940318cea061e8bb |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcc42cbac48190b8d3e4c9ce140838 |
completed | May 7, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69fcb0fc69c88190800453eb57a7e62c |
completed | May 7, 2026, 3:34 p.m. |
| PDg | Predicate description generation | batch_69fcc42b9334819099929649b7ef68ea |
completed | May 7, 2026, 4:56 p.m. |
Created at: May 3, 2026, 4:29 p.m.