Triple
T13356030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bay Ridge–95 Street |
E318693
|
entity |
| Predicate | hasSubwaySymbol |
P109598
|
FINISHED |
| Object | R in yellow circle |
—
|
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: R in yellow circle | Statement: [Bay Ridge–95 Street, hasSubwaySymbol, R in yellow circle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSubwaySymbol Context triple: [Bay Ridge–95 Street, hasSubwaySymbol, R in yellow circle]
-
A.
hasSubway
Indicates that a place is served by or contains a subway (metro) system.
-
B.
hasSubwayComplex
Indicates that one entity contains or is associated with a subway complex as part of its structure or facilities.
-
C.
hasSubwayPlatforms
Indicates that an entity is equipped with one or more platforms specifically serving a subway or metro rail system.
-
D.
hasMetroLine
Indicates that a location or area is served by, or connected to, a specific metro (subway) line.
-
E.
hasSubwayLineAboveOrBelow
Indicates that one subway line is physically located above or below another subway line, such as on different levels of a transit system.
- 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_69d806b7bbac8190b85278c87fa7aff3 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dadcd4cb008190af99c4856e76ac08 |
completed | April 11, 2026, 11:44 p.m. |
| PD | Predicate disambiguation | batch_69d9a02c9abc8190b328e7bae747bfc5 |
completed | April 11, 2026, 1:13 a.m. |
| PDg | Predicate description generation | batch_69dadcce5a808190847f2a7833b67a5a |
completed | April 11, 2026, 11:44 p.m. |
Created at: April 9, 2026, 9:32 p.m.