Triple
T15036746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All Aboard Florida project |
E378494
|
entity |
| Predicate | serviceBrandColor |
P116489
|
FINISHED |
| Object | yellow |
—
|
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: yellow | Statement: [All Aboard Florida project, serviceBrandColor, yellow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: serviceBrandColor Context triple: [All Aboard Florida project, serviceBrandColor, yellow]
-
A.
serviceBranchColor
Indicates the specific color associated with a particular branch of service (e.g., military or organizational branch) as its identifying or representative color.
-
B.
serviceColorHex
Indicates the hexadecimal color code associated with a given service.
-
C.
serviceBrand
Indicates that one entity is the brand under which a particular service is offered or marketed by another entity.
-
D.
corporateColor
Indicates the official color or color scheme that represents a corporation’s brand or identity.
-
E.
usesBrandColor
Indicates that one entity applies or displays another entity’s official brand color in its appearance, design, or materials.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded82b29948190acda49cbec3f927a |
completed | April 15, 2026, 12:13 a.m. |
| PD | Predicate disambiguation | batch_69de9a69d7848190b2b4662dd30f20e9 |
completed | April 14, 2026, 7:50 p.m. |
| PDg | Predicate description generation | batch_69deb1a88d588190996afa8e5b32b552 |
completed | April 14, 2026, 9:29 p.m. |
Created at: April 10, 2026, 2:59 a.m.