Triple
T14867684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mexikói út |
E349658
|
entity |
| Predicate | publicTransportStopCategory |
P6657
|
FINISHED |
| Object | interchange station |
—
|
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: interchange station | Statement: [Mexikói út, publicTransportStopCategory, interchange station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publicTransportStopCategory Context triple: [Mexikói út, publicTransportStopCategory, interchange station]
-
A.
publicTransportNode
Indicates that a location functions as a node within a public transportation network, such as a stop, station, or interchange where services operate or connect.
-
B.
publicTransitStop
chosen
Indicates that a location serves as a designated stop or station where public transit vehicles (such as buses, trains, or trams) pick up and drop off passengers.
-
C.
railwayStationCategory
Indicates the classification or type category assigned to a railway station within a rail network or system.
-
D.
urbanRailCategory
Indicates the classification of an urban rail system according to its type or category (e.g., metro, tram, light rail).
-
E.
publicTransportZone
Indicates that an entity is located within, associated with, or valid for a specific public transportation fare or service zone.
- 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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5776b848190bfe3a06ff261dc31 |
completed | April 15, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69de8c1798c08190b433e9ad21e41a42 |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:55 a.m.