Triple
T14210311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buda Castle Funicular upper station |
E352209
|
entity |
| Predicate | elevationRelativeToDanube |
P221
|
FINISHED |
| Object | high |
—
|
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: high | Statement: [Buda Castle Funicular upper station, elevationRelativeToDanube, high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: elevationRelativeToDanube Context triple: [Buda Castle Funicular upper station, elevationRelativeToDanube, high]
-
A.
borderingCountryAcrossDanube
Indicates that one country shares a border with another country specifically across the Danube River.
-
B.
elevationAboveLake
Indicates the vertical height or altitude of something relative to the surface level of a specified lake.
-
C.
elevationAboveWater
Indicates the vertical distance by which one entity is positioned above the surface level of a body of water.
-
D.
elevation
chosen
Indicates the vertical height or altitude of one entity relative to a reference level or another entity.
-
E.
damHeight
Indicates the vertical height of a dam structure, typically measured from its base or foundation to its crest.
- 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_69d8278a06e481908b5d6af0a8afe737 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61fa8d24819092a8ec5d34c1c799 |
completed | April 14, 2026, 3:49 p.m. |
| PD | Predicate disambiguation | batch_69de05bcd7d48190a4848d9320404aa6 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 1:05 a.m.