Triple
T14262419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | N211 |
E353554
|
entity |
| Predicate | roadNumberFormat |
P21547
|
FINISHED |
| Object | N + 3-digit number |
—
|
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: N + 3-digit number | Statement: [N211, roadNumberFormat, N + 3-digit number]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roadNumberFormat Context triple: [N211, roadNumberFormat, N + 3-digit number]
-
A.
routeNumberFormat
chosen
Indicates how the identifying number or code for a route is structured or formatted.
-
B.
roadNumberPrefix
Indicates that one entity is a prefix portion of the road number or designation used by the other entity.
-
C.
roadNumberingZone
Indicates the designated numbering zone or area within which a particular road’s identification or route number is assigned.
-
D.
routeNumber
Indicates the specific identifying number assigned to a route within a transportation or delivery network.
-
E.
hasRoadNumberSystem
Indicates that a place or region uses a specific system for assigning numbers to its roads or highways.
- 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_69d8278c43e08190824146f4632b89a5 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de63563fc88190b0abdbf8529c65eb |
completed | April 14, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69de2a7d586c8190846ff242bbf5ac53 |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:09 a.m.