Triple
T4393761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LaSalle/Van Buren |
E99429
|
entity |
| Predicate | mapColorCode |
P34403
|
FINISHED |
| Object | Pink Line color on CTA maps |
—
|
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: Pink Line color on CTA maps | Statement: [LaSalle/Van Buren, mapColorCode, Pink Line color on CTA maps]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mapColorCode Context triple: [LaSalle/Van Buren, mapColorCode, Pink Line color on CTA maps]
-
A.
mapColor
Indicates a relationship where a map region or area is assigned or associated with a specific color, typically for visualization or categorization purposes.
-
B.
mapColorLine
chosen
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.
-
C.
circuitColorOnMaps
Indicates that a circuit is represented with a specific color on one or more maps.
-
D.
colors
Indicates that one entity assigns, describes, or provides the color or colors of another entity.
-
E.
mapColorGreenLine
Indicates that an entity is represented or highlighted with a green-colored line on a map.
- 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_69b345506b408190b0e3dee616738a7d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b352a8862481909dc67abf42be6928 |
completed | March 12, 2026, 11:56 p.m. |
| PD | Predicate disambiguation | batch_69b34f597998819092477efdedb51427 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:19 p.m.