Triple
T7886406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mi Teleférico |
E183113
|
entity |
| Predicate | colorCodedLines |
P61608
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Mi Teleférico, colorCodedLines, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colorCodedLines Context triple: [Mi Teleférico, colorCodedLines, true]
-
A.
colorLineContext
Indicates a relationship where the color of a line is determined or interpreted based on its surrounding contextual information or environment.
-
B.
mapColorLines
chosen
Indicates a relationship where colors are assigned or associated with specific lines, such as mapping each line to a particular color.
-
C.
networkColorOfLine
Indicates the color assigned to a specific line within a network (such as a transit or communication network).
-
D.
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.
-
E.
usesLineCode
Indicates that one entity employs or references a specific line code as part of its operation, identification, or communication.
- 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_69ca828af6e48190a06ee7010d8f0e64 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39d7e6308190b5a554385e83ff0d |
completed | March 31, 2026, 3:04 a.m. |
| PD | Predicate disambiguation | batch_69cae92b0cd881908e715a10d3252e83 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:59 p.m.