Triple
T20441224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MARTA rail network |
E501394
|
entity |
| Predicate | colorCodingScheme |
P62473
|
FINISHED |
| Object | Red |
—
|
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: Red | Statement: [MARTA rail network, colorCodingScheme, Red]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colorCodingScheme Context triple: [MARTA rail network, colorCodingScheme, Red]
-
A.
colorEncoding
Indicates how the color information of an entity is represented, formatted, or encoded.
-
B.
colorEncodingMethod
Indicates the method or scheme used to represent or encode color information.
-
C.
colorSystem
chosen
Indicates that one entity is a system or scheme used to define, organize, or represent the colors of another entity.
-
D.
codenameColor
Indicates that an entity’s codename is associated with or represented by a specific color.
-
E.
hasColourScheme
Indicates that an entity is associated with a particular set or pattern of colors used in its design or appearance.
- 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_69e0b4ab3cfc8190ac9bf32e932316b1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e685f2e8888190a2e0d6b2bf6c905d |
completed | April 20, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69e5766df0008190a73c4f613c29678f |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 16, 2026, 11:31 a.m.