Triple
T10351731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nyugati tér |
E243896
|
entity |
| Predicate | hasTrolleybusService |
P36816
|
FINISHED |
| Object | Budapest trolleybus lines |
—
|
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: Budapest trolleybus lines | Statement: [Nyugati tér, hasTrolleybusService, Budapest trolleybus lines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTrolleybusService Context triple: [Nyugati tér, hasTrolleybusService, Budapest trolleybus lines]
-
A.
hasTrolleybusLine
chosen
Indicates that there exists a trolleybus service or route connecting the related entities.
-
B.
hasTrolleybusSystem
Indicates that an entity operates or is served by a trolleybus transportation system.
-
C.
hasBusServices
Indicates that one location or entity is served by bus routes or bus transportation provided by another.
-
D.
hasTramway
Indicates that a location or area is served by, contains, or is connected to a tramway system.
-
E.
isPublicTransportBackboneOf
Indicates that one transport system serves as the primary structural and functional core of a region’s overall public 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9489f9481908fc1c818e81c1cc2 |
completed | April 7, 2026, 11:23 a.m. |
| PD | Predicate disambiguation | batch_69d4dfa657f481909cc5cc8fec00ad19 |
completed | April 7, 2026, 10:42 a.m. |
Created at: April 6, 2026, 11:57 a.m.