Triple
T10159900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Worboys road sign system |
E233860
|
entity |
| Predicate | usesShapeConvention |
P78044
|
FINISHED |
| Object | triangular warning signs |
—
|
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: triangular warning signs | Statement: [Worboys road sign system, usesShapeConvention, triangular warning signs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesShapeConvention Context triple: [Worboys road sign system, usesShapeConvention, triangular warning signs]
-
A.
hasShapeNickname
Indicates that an entity is associated with an informal or colloquial nickname referring to its shape.
-
B.
conventionFor
chosen
Indicates a relationship where something serves as a standard, rule, or customary practice governing how another thing is done, represented, or interpreted.
-
C.
isArbitraryConvention
Indicates that the relationship or rule exists due to social or contextual agreement rather than inherent necessity or natural law.
-
D.
hasSignConvention
Indicates that a particular system, quantity, or representation follows a specified rule for assigning positive and negative signs.
-
E.
namingConventionType
Indicates the specific style or set of rules used for naming entities or elements in a given context.
- 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_69ca848e80748190b91d1e04d35512c7 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdec5831e481909b48fdfa8f1c670b |
completed | April 2, 2026, 4:11 a.m. |
| PD | Predicate disambiguation | batch_69cd4ba795808190acc9124c98c6e40f |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 9:09 p.m.