Triple
T1958761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metro Viveros / Derechos Humanos |
E42331
|
entity |
| Predicate | networkColorOfLine |
P34402
|
FINISHED |
| Object | olive green |
—
|
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: olive green | Statement: [Metro Viveros / Derechos Humanos, networkColorOfLine, olive green]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: networkColorOfLine Context triple: [Metro Viveros / Derechos Humanos, networkColorOfLine, olive green]
-
A.
trackColor
Indicates the color associated with a given track in a context such as audio, video, or data sequencing.
-
B.
mapColorOrangeLine
Indicates that an entity is associated with, represented by, or rendered using the color of the orange line on a map.
-
C.
mapColorYellowLine
Indicates that a map feature is represented or highlighted using a yellow line.
-
D.
mapColorSilverLine
Indicates that a map feature is represented or highlighted using a silver-colored line.
-
E.
mapColorBlueLine
Indicates that a map is rendered or highlighted using a blue-colored line to represent a particular feature or path.
- 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_69a8870eea088190a38781990812a9bc |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb68a8e608190bc37a85913b3cd44 |
completed | March 7, 2026, 5:24 a.m. |
| PD | Predicate disambiguation | batch_69abaff5dbd48190a9d36ca60de151db |
completed | March 7, 2026, 4:56 a.m. |
| PDg | Predicate description generation | batch_69abb6893eb881908923f0168374596a |
completed | March 7, 2026, 5:24 a.m. |
Created at: March 4, 2026, 7:36 p.m.