Triple
T19780407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | D25 |
E475114
|
entity |
| Predicate | hasRoadSignShape |
P137300
|
FINISHED |
| Object | rectangular |
—
|
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: rectangular | Statement: [D25, hasRoadSignShape, rectangular]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRoadSignShape Context triple: [D25, hasRoadSignShape, rectangular]
-
A.
hasRoadSign
Indicates that one entity possesses, displays, or is associated with a particular road sign.
-
B.
usedOnRoadSigns
Indicates that something (such as a symbol, color, or material) is employed in the design or construction of road signs.
-
C.
roadSignCode
Indicates the specific regulatory or informational code assigned to a road sign that defines its meaning or instruction.
-
D.
roadSignageIndicates
Indicates that a piece of road signage conveys, displays, or communicates specific information, instructions, or warnings about road conditions or regulations.
-
E.
roadSignPrefix
Indicates a relationship where one element serves as the initial or leading part of a road sign’s text, code, or designation.
- 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_69d8e51a43a08190956bc6df13c91a77 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65382ff308190832800dd60675f7a |
completed | April 20, 2026, 4:25 p.m. |
| PD | Predicate disambiguation | batch_69e53053ed2881908400becdfada7fd3 |
completed | April 19, 2026, 7:43 p.m. |
| PDg | Predicate description generation | batch_69e532bcf41c8190b685b5adf46a60fc |
completed | April 19, 2026, 7:53 p.m. |
Created at: April 10, 2026, 1:49 p.m.