Triple
T34634726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vácszentlászló |
E889389
|
entity |
| Predicate | roadTransportCountry |
P179721
|
FINISHED |
| Object | Hungary |
—
|
NE NERFINISHED |
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: Hungary | Statement: [Vácszentlászló, roadTransportCountry, Hungary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roadTransportCountry Context triple: [Vácszentlászló, roadTransportCountry, Hungary]
-
A.
roadNetworkCountryCode
Indicates the country code associated with the road network in which the related entity or segment is located.
-
B.
hasTransportCountryRoadNetwork
Indicates that an entity possesses or is associated with a system of country roads used for transportation.
-
C.
roadTransportFunction
Indicates a functional relationship in which something serves or is used for the transport of people or goods via roads.
-
D.
transportNetwork
Indicates a relationship where infrastructure or services enable the movement of people or goods between different locations.
-
E.
shareTransportInfrastructure
Indicates that multiple entities make joint use of the same transport infrastructure facilities or systems.
- F. None of above. chosen
Provenance (4 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_69f349d724848190b63ad3407e0006d9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7238172748190b8cd340ad1f4ba80 |
completed | May 3, 2026, 10:29 a.m. |
| PD | Predicate disambiguation | batch_69f72155c48881909bd40b9aa3febd5a |
completed | May 3, 2026, 10:20 a.m. |
| PDg | Predicate description generation | batch_69f72349f1108190b6a06758ab2f40bb |
completed | May 3, 2026, 10:28 a.m. |
Created at: May 1, 2026, 2:04 a.m.