Triple
T29356484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frankfurt Rhine-Main |
E744456
|
entity |
| Predicate | hasMajorMotorways |
P385
|
FINISHED |
| Object | Autobahn network |
—
|
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: Autobahn network | Statement: [Frankfurt Rhine-Main, hasMajorMotorways, Autobahn network]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMajorMotorways Context triple: [Frankfurt Rhine-Main, hasMajorMotorways, Autobahn network]
-
A.
hasMajorHighway
chosen
Indicates that a location or area is served by or directly connected to a major highway route.
-
B.
isMotorwayIn
Indicates that a motorway is located within or passes through a specified geographic area or administrative region.
-
C.
motorwayServedBy
Indicates that a motorway is connected to or accessed by a particular service facility, route, or transport service.
-
D.
hasMajorTransportInfrastructure
Indicates that a location possesses significant transportation facilities or networks, such as major roads, railways, ports, or airports, that support substantial movement of people or goods.
-
E.
isMajorTrafficRoute
Indicates that a road or pathway serves as a primary, heavily used route for traffic flow within a transportation network.
- 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_69f0a79aee588190b490f19d93c6e52d |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69ff38b960808190a8263348f1e5c0e4 |
completed | May 9, 2026, 1:38 p.m. |
| PD | Predicate disambiguation | batch_69ff37d97d9c8190849b2bac14f9af1d |
completed | May 9, 2026, 1:34 p.m. |
Created at: April 28, 2026, 2:12 p.m.