Triple
T36206446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Babushkinskaya |
E1047408
|
entity |
| Predicate | hasColorOnLineMap |
P34402
|
FINISHED |
| Object | orange (Kaluzhsko–Rizhskaya Line color) |
—
|
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: orange (Kaluzhsko–Rizhskaya Line color) | Statement: [Babushkinskaya, hasColorOnLineMap, orange (Kaluzhsko–Rizhskaya Line color)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasColorOnLineMap Context triple: [Babushkinskaya, hasColorOnLineMap, orange (Kaluzhsko–Rizhskaya Line color)]
-
A.
hasColorOnRouteMap
Indicates that a specific color is used to represent an entity (such as a route or line) on a route map.
-
B.
mapColorLines
Indicates a relationship where colors are assigned or associated with specific lines, such as mapping each line to a particular color.
-
C.
mapColorLine
Indicates a relationship where a specific color is assigned to or associated with a particular line (such as a route, path, or boundary) on a map.
-
D.
mapColorBrownLine
Indicates that an entity is associated with the brown-colored line on a map (e.g., a transit or route line depicted in brown).
-
E.
networkColorOfLine
chosen
Indicates the color assigned to a specific line within a network (such as a transit or communication network).
- 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_69f76e4214748190a76c986d2a1838c2 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0a54cc8190868c1bfa1590d1a6 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:09 p.m.