Triple
T4068099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ascott |
E86376
|
entity |
| Predicate | roadTransportSystem |
P3293
|
FINISHED |
| Object | left-hand traffic |
—
|
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: left-hand traffic | Statement: [Ascott, roadTransportSystem, left-hand traffic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roadTransportSystem Context triple: [Ascott, roadTransportSystem, left-hand traffic]
-
A.
transportNetwork
Indicates a relationship where infrastructure or services enable the movement of people or goods between different locations.
-
B.
roadSystem
chosen
Indicates a relationship where multiple roads are organized and connected as part of a larger, integrated transportation network or infrastructure.
-
C.
rapidTransitSystem
Indicates a transportation relationship where people or goods are moved via a high-capacity, high-frequency public transit system designed for rapid travel over urban or regional routes.
-
D.
usedTransportationInfrastructure
Indicates that an entity made use of some form of transportation infrastructure (such as roads, railways, or ports) to enable movement or transit.
-
E.
operatorOfTransportInfrastructure
Indicates that an entity operates, manages, or runs a specific piece of transport infrastructure.
- 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_69aed93c69208190a4efac0efe3cd69b |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefbf8f33c8190a6afca1830f35485 |
completed | March 9, 2026, 4:57 p.m. |
| PD | Predicate disambiguation | batch_69aef9061d2481908307cafc9e9b32c0 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:38 p.m.