Triple
T15880115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mancunian Way |
E385052
|
entity |
| Predicate | isUrbanMotorway |
P28220
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Mancunian Way, isUrbanMotorway, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isUrbanMotorway Context triple: [Mancunian Way, isUrbanMotorway, yes]
-
A.
isUrbanRoute
Indicates that a route is located within, passes through, or primarily serves an urban or metropolitan area.
-
B.
isUrbanFreeway
chosen
Indicates that a roadway segment functions as a high-capacity, limited-access freeway located within an urban area.
-
C.
isRuralHighway
Indicates that a given highway is classified as being located in or primarily serving a rural area.
-
D.
isOnOrbitalMotorway
Indicates that one entity (typically a route or segment) lies on or forms part of an orbital motorway that encircles a city or area.
-
E.
isInnerCityRoad
Indicates that a road is located within and primarily serves the inner (central, densely built-up) area of a city.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e174de2cd48190ab18e48c9f051a2a |
completed | April 16, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69e142c3e18c8190bb7b023f4a0eaebb |
completed | April 16, 2026, 8:12 p.m. |
Created at: April 10, 2026, 4:51 a.m.