Triple
T3666888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maryland State Highway System |
E77780
|
entity |
| Predicate | roadSignColor |
P50027
|
FINISHED |
| Object | black-on-white |
—
|
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: black-on-white | Statement: [Maryland State Highway System, roadSignColor, black-on-white]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roadSignColor Context triple: [Maryland State Highway System, roadSignColor, black-on-white]
-
A.
railwaySignColor
Indicates the color attribute assigned to a particular railway sign.
-
B.
roadSignCode
Indicates the specific regulatory or informational code assigned to a road sign that defines its meaning or instruction.
-
C.
roadSignageIndicates
Indicates that a piece of road signage conveys, displays, or communicates specific information, instructions, or warnings about road conditions or regulations.
-
D.
roadUniformColor
Indicates that the entire road surface shares a single, consistent color throughout.
-
E.
colorOfTrailMarkings
Indicates the relationship specifying what color the trail’s markings are.
- 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_69ad85dfc4dc8190a441864202ab2a7a |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc402f5dc8190bd8d56a3c06e88f3 |
completed | March 8, 2026, 6:46 p.m. |
| PD | Predicate disambiguation | batch_69adb84a20288190a092e4a1b045fe3f |
completed | March 8, 2026, 5:56 p.m. |
| PDg | Predicate description generation | batch_69adb8e4ba948190a9b777cf7f788b96 |
completed | March 8, 2026, 5:59 p.m. |
Created at: March 8, 2026, 3:25 p.m.