Triple
T33626266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Budapest transport network |
E861412
|
entity |
| Predicate | suburbanRailLine |
P159750
|
FINISHED |
| Object | H5 Szentendre line |
—
|
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: H5 Szentendre line | Statement: [Budapest transport network, suburbanRailLine, H5 Szentendre line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: suburbanRailLine Context triple: [Budapest transport network, suburbanRailLine, H5 Szentendre line]
-
A.
isSuburbanRailway
chosen
Indicates that a railway line, service, or system operates primarily within and around a metropolitan area, typically connecting the city center with its suburbs.
-
B.
subwayLine
Indicates that there is a subway line connection or service relationship between the referenced entities.
-
C.
isSuburbanRailIn
Indicates that a suburban rail service or line operates within or belongs to a specified geographic area or region.
-
D.
lightRailNetwork
Indicates a relationship where an area, city, or region is served by or contains a light rail transit network.
-
E.
urbanRailway
Indicates a relationship where a railway system operates within or primarily serves an urban or metropolitan area.
- 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_69f34981c54c81909b33c3fa2208a52d |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6fb19063c81909466b329655c8583 |
completed | May 3, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f6f96badb08190994442c2aba840b1 |
completed | May 3, 2026, 7:29 a.m. |
Created at: May 1, 2026, 1:41 a.m.